Kamis, 28 Februari 2019

Past and present warehousing techniques using electronics and International Electronic Processing (INTERNET) AMNIMARJESLOW GOVERNMENT 913204710250017 XI XAM PIN PING HUNG CHOP 02096010014 LJBUSAF CELL __ PIT GOING ADAPT GOOD EFISIENSI WAREHOUSE With e- Distribusion __ Thankyume on Lord Jesus Blessing For Sky Bridge for Earth ___ Gen . Mac Tech Zone e- Bridge Warehouse




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In the era of the century before the century the warehousing was still from around the accumulation of food ingredients in barns of food such as grain barns - rice barns - barns and so on which aimed at storing food for certain seasons in human life in order to walk and all it still depends on natural processes and from the results of human activities which have not yet been categorized as business activities but are still in the form of activities to defend themselves, namely for the needs of community and royal life or for logistical needs of war between tribes and beliefs. but at this time, after or after the occurrence of additional functions than warehousing, namely for the purpose of storing goods produced as well as for national security of a country. the addition of additional functions from this warehousing in the 19th century and the 20th century became an essential limitation where humans have experienced life which has not been dependent on climate and environmental atmosphere but began by managing the environment so that the living system in a country and royal kingdom got something better of course we know the increasing number of people and the increasing number of countries on earth. and the trading process with more and more items is increasingly complex. whereas in the 21st to the 22nd century, commercial transaction processes have been influenced by electronic systems where transactions of many production items needed by many people are managed properly and efficiently and effectively so that quality and quantity can be increased, in the process of modernizing warehousing this warehouse in modern times should have been reduced because warehouses are a source of additional costs which are like costs that can indirectly increase the cost of goods sold where the price of manufactured goods will be more expensive and sources of bureaucratic and corruption costs if in countries with electronic technology which is not yet qualified due to transactions still from hand to hand and the recording is still manual and the process of receiving and sending goods manually. in this modern era the warehousing process has begun to be reduced by the on-line marketing which by this process the goods of production can be quickly sent and purchased as well as the process of financial transactions that are fast and appropriate in accordance with the price of the goods produced. so I explained briefly about warehousing --- now - and the future.




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Warehouse is a room that is usually used to store goods that are generally in large quantities and are generally owned by companies in the manufacturing field. The types of goods stored in warehouses are very diverse, but usually stored in there are raw materials or merchandise supplies. Do you know? This warehouse is actually part of logistics activities whose functions are not only limited to storage, but there are other important things

The importance of warehouses in business continuity cannot be underestimated. Although it does not have a building for its own warehouse, several companies are willing to rent a place to be used as a storage warehouse. The warehouse function in the company is as follows :


• Assembling


Warehouse does have a main function as a storage place, but some companies also use it as a place to assemble, namely to assemble products ordered by clients or consumers.

• Dispatching


Another function is as dispatching for storage and shipping. With this the production process of an item can be controlled and in accordance with the schedule set.

• Inbound & Outbound Consolidation


The company uses warehouses as well as inbound and outbound consolidation. Inbound consolidation is a process where goods are consolidated first in the storage space before entering the production process. Whereas outbound consolidation is placing goods produced and consolidated before they are later handed over to customers.

• Maintaining Record


The warehouse is used as a storage place that serves to carry out product maintenance. Especially if the merchandise owned by the company does need to be placed in a good room so that the quality of the goods is maintained.

• Packaging


Warehouses are also used for packing a product before being delivered to customers. In the warehouse also the order selection is carried out before proceeding to the next process. In this storage room sorting activities are also carried out and inspection of goods in containers until they are sent to customers.


Looking at the warehouse functions above, of course you understand why warehouse management is an important aspect of running a business. Warehouse is actually not a mere stock business, but also can spread to other management including financial management of a company. Good warehouse management can help reduce production costs indirectly. Also read the article following the importance of financial management to gain profit in business. When production costs can be reduced, the profit generated can also be increased.
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The following are some things that can be obtained by the company if the warehouse management is carried out properly:

• Reducing the risk of loss


With good warehouse management, you will also reduce the risk of future losses. The risk of loss in question is such as damage to merchandise that is stored too long to reduce logistics costs. Warehouses that are in place as transit, distribution and consolidation terminals can be utilized properly according to their functions if warehouse management is carried out properly.

• Able to Meet Faster Requests


With a good warehouse management system, the company can meet client demand faster. Sudden requests can also be fulfilled if the warehouse is properly managed. Shipping goods and checking or sorting goods can also be done faster if the company has good warehouse management.

• Can Present Stock Information in Real Time


Warehouse management also encourages the presentation of stock information in real time. You can find out the number of stocks, how many stocks have been damaged and how many units are still in process until the finished ones. You are able to calculate the cost in more detail and in accordance with the data in the field. This certainly makes it easier for you to compile and read related reports.

• Able to Determine Inventory and Re-Order More Precisely


Proper warehouse management can also help companies determine when to re-order inventory. The warehouse management system is able to estimate more precisely how much inventory is needed. That way the company will not experience shortages or excess stock in the future. In this way, not only inventory management is maintained, but the financial condition of the company is also saved because it is able to avoid excessive expenditure of funds to purchase inventory.

• As Material for Consideration in Taking Company Policy


Information related to warehouses is also needed to take policy in the company, especially in terms of production and logistics. Warehouse information is needed to determine the cost of goods sold which will be used to calculate the profit and loss obtained by the company. Warehouse data is also needed as a comparison with previous data in order to take the right company policy.

• Reducing fraud that might occur


Warehouse management is also needed to identify fraud and negligence that may occur in the company. Warehouse management can be used as a form of supervision, control and planning of existing inventory.


   
                               How to Build Correct Warehouse Management?
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Without disregarding financial management, this article is made so that companies are increasingly aware of the importance of managing warehouses properly. Good warehouse management does not only depend on the budgeting control over inventory but also maintenance of the inventory itself.

This means that how to store inventory is very important not only to regulate how much inventory needs to be bought or produced. The following are steps you can take to build a good and correct warehouse management below:

• Prepare Data on Items that Need to Be Stored


The first step you need to do to build the right warehouse management is to prepare in advance what supplies will be stored in the warehouse. By preparing inventory data as accurately as possible you can calculate how much building is needed for storage.

• Determine Warehouse Location


Next you need to determine the location of the building that will be used as a storage location. Warehouse locations should be easy to access and have a spacious parking area so that vehicles can get in and out easily. The location of the warehouse should be close to the office so that it is easy to do an audit by interested parties.

• Set Inventory Layout


It doesn't stop there, but it also requires setting up inventory layout to make it easier to calculate and search for items later on. Understand the character of the product so that the storage will also be more appropriate. Inventory products can be arranged based on the brand or type of product itself. Inventory categories and sizes also affect the product storage layout. Do not forget too, set the temperature of the warehouse so that it is not too moist or too dry which can have an impact on the condition of the inventory of goods stored.

• Create a Forecast for the Inventory Schedule


After the data collection and laying of the inventory have been sorted out, proceed by making inventory forecast in the required period and proceed with making inventory schedules. This inventory schedule will determine when you should make inventory purchases. The availability of inventory forecast information and inventory schedule will make it easier for you to calculate inventory budgeting for a certain period.

• Use Inventory Software


Management of goods cannot be considered trivial. Especially in a super-sophisticated era like today, fast and accurate information is needed. To meet these needs, inventory software is designed to control the inventory of warehouses owned. The use of inventory software also reduces the risk of human error when inputting data and monitoring. In addition, inventory software is also able to provide real time information and be faster in presenting reports.


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In an era that has been very advanced as it is today, starting a lot of emerging inventory software that can help in warehouse management in the company that you founded. You can do research first before determining which inventory software is your choice. The following are some of the advantages of inventory software that you need to know:

• Able to do automatic calculations


Inventory software has the ability to automatically calculate inventory. You can find out the amount of inventory in real time and accurately. Not only that, you can even know the history of the inventory of goods listed.

• Get Price Information in Real Time


Software inventory will help you obtain information on the price of inventory so that the company is easier to set the desired profit. In addition, recording inventory stocks can also be made easier by using this inventory software.

• Facilitate Audit


Software inventory also helps the auditor's work in auditing the company's inventory. Not only that, the inventory software also helps in controlling the movement of inventory and the needs of document documents.

• Minimizing Time and Costs


Another advantage of inventory software is being able to minimize time and costs due to human errors. The time used to calculate inventory is faster because it is done automatically so that stock taking is faster and less complicated.

• Safer and Integrated Data Storage


The use of inventory software is able to provide much greater storage space than by manual method. You can also see the history of each desired inventory and make a report faster than by manual method. Checking is also much faster and can monitor stock items online.

• Effective and Dynamic


Using inventory software makes your company work more dynamically and effectively related to inventory. The profit generated can also be more optimal and the company's performance can also be optimal. Plus customer satisfaction also increases with fast handling of their needs.


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Of course, in choosing inventory software you should not just choose it as long as you choose. The ideal inventory software is not dependent on the latest technology but conformity to the needs of the company itself. The following are some of the things you should pay attention to in choosing inventory software:

•Price


The price of an inventory software is actually diverse and there are enough choices available on the market. But you need to know that not all cheap digital products have poor quality, and vice versa. It would be better if you buy inventory software according to your needs and budget.

• Features


Each software certainly has its own advantages with each other. The usual difference lies in the features used. If your inventory has various types of inventory and is complex, use a lot of customization software.

• User Friendly


No matter how sophisticated the software is if it is not user friendly it will certainly be useless. Try to buy inventory software that is not only sophisticated and has many features, but is also user friendly so it's easy for anyone to use.

• Flexible and Integrated


An inventory software must be flexible so that it can be accessed easily. The software must also be compatible with devices in your office. Especially if you have a lot of shops, of course it's important to prioritize the flexibility and integrity of a software.

A good inventory software must certainly meet the service needs that you and the company need. One recommended inventory software is Unleashed.

Unleashed is one of the advanced inventory software that does not need to doubt its capabilities. This software is the right inventory solution for various types of companies such as manufacturing, distributors, wholesalers to e-commerce retailers.

Unleashed has many advantages as follows:
• Reporting and inventory control in real time.
• Have a mobile sales application making it easier.
• Able to calculate product costs accurately.
• Can be used for product tracking.
• Can be used to manage several warehouses at once throughout the world.


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            AB. WXO  Modern Warehouse Management In The Era Of Customer Centricity


It is all about the customer. Whether discussing product innovation, shop floor processes or IT investments, the underlying priority is likely to be related to customer alignment. Building customer relationships is the key to repeat sales, brand loyalty and products which are immune to commoditization and price wars. This customer focus applies to warehouse priorities too. And, despite increasing complexities in inventory management, software solutions can help manufacturers optimize processes to support a customer-centric approach.

Defining the Complexities 
Warehouse management is increasingly complex. Not only are manufacturers inventorying larger numbers of SKUs, those products tend to have compressed life cycles with high tech components that quickly slide into obsolescent doom. A global supply chain providing raw resources, the need for traceability of components and strict regulations around storage conditions all add to the mounting list of pressures manufacturers face. The most challenging obstacle, though, is the increased demand for highly personalized products. How can a manufacturer possibly stock all of the variations of style, dimensions, materials, finishes and accessories associated with modern product lines?
Even business-to-business manufacturers and fabricators must contend with customers who want to submit customized specifications for industrial products, machinery and electronic parts. Creating unique products which can’t be easily knocked-off by aggressive competition is often the goal. Or, the objective may be to provide major accounts with extra attention. No matter the reason, the reality is an avalanche of Engineer to Order (ETO) and Make to Order (MTO) products. And, they all need shelf space, unique IDs and a place in the system.

Setting Priorities for Change
Organizations today have to make difficult decisions about priorities and determining the projects that merit phase-one funding. Inventory management is one of the most pivotal areas impacted by innovation, yet one that is often overlooked and underestimated for its value when it is time to allocate funds. But, pausing to recognize the significance of readily available raw resources, parts and components helps managers see why investing in smart inventory management solutions is a critical part of keeping customers happy.
When picking a starting point for IT investment, manufacturing executives often automatically turn to the shop floor, concentrating on industrial machinery, workflows, sensor technology and machine maintenance for improvement initiatives. It is easy to overlook the strategic role of inventory management and make the common assumption that the warehouse is just a transitional phase where goods wait to be shipped to their destination. That is hardly the case.
When inventory management is viewed through the lens of customer centricity, the relevance of available inventory, reliable safety stock and parts availability puts a new perspective on priorities. Lack of inventory means processes are delayed, eating away at productivity. When orders cannot ship, customers become angry, eroding loyalty and repeat sales. When service level agreements cannot be met because of missing spare parts, fines are levied and contracts revoked, proving that inventory should be a topic that everyone in the plant considers high priority.

Modern Assembly Demands
Advanced inventory management receives even more emphasis when the manufacturer must manage a large percentage of highly configured, personalized products. Operational tactics, like “hub and spoke” design and late-stage assembly, allow manufacturers to take advantage of modular design concepts with mix and match components. Various systems of a product can be assembled and stored. Final assembly can be postponed until the actual order is received. Then, the right finishes, accessories and details can be added to meet the customer’s exact needs. Assembly tactics such as this are becoming increasingly common as manufacturers cope with customer expectations for specialized products.
Fortunately, advanced inventory solutions help the manufacturer manage this process of storing and staging partially assembled products, components and compatible add-ons. Without highly flexible technology that can adapt to changing situations, chaos would be the new normal. No manufacturer can afford chaos, uncertainty, delays from confusion or gaps in communications from discrepancies in paper-based spread sheets.

Innovation in Thinking
Cross-docking is a practice in modern inventory and logistics operations. Cross-docking allows products which are unloaded from incoming trucks or rail cars to be automatically dispatched to the end destination — without the waste of being put in inventory and then shortly thereafter removed. By storing the products in a staging area or simply reloading them in another transportation vehicle, time and labor can be saved. In cases of less-than-truckload (LTL) shipments, cross-docking simply moves cargo from one transport vehicle directly onto another, avoiding warehousing. In some operations, a staging area can be used to sort inbound materials and store them until the customer’s outbound shipment is complete and ready to ship.
When a manufacturer makes its own components, cross docking capabilities help sync availability and demand, automatically matching the completed goods with open jobs or purchase orders that may be waiting for that component. Such tactics speed processes, streamlining activities and allowing the manufacturer to respond to customer expectations.

Using Scanners and Sensors in the Warehouse
Technology can also be used in the warehouse to improve inventory tracking, reducing errors and speeding pick and pack processes. Barcodes, optical scanners, RFID technology and sensors with GPS tracking can all be used to help warehouse personnel find and pull products from shelves. For manufacturers with thousands of SKUs, hundreds of possible versions, and multi-part kitting requirements, saving time on each order quickly adds up to major cost impact. Even more importantly, accuracy is improved, influencing customer satisfaction.
Next generation solutions can take the advanced inventory system up yet one more level. Wearable technology, voice activated systems and automatic sensor readings all help warehouse personnel concentrate on fulfillment, rather than computer tasks. Some industries even find benefit in deploying driverless forklifts operating on tracks which can quickly move through the warehouse, automatically stopping at correct bins and using robotic arms to pull products. Speed is increased, while also reducing safety issues.

Accuracy Improves Reporting
Improved accuracy is one of the most important ways technology improves inventory systems and helps improve customer satisfaction. Customers hate errors, especially errors in availability, inventory status and projected delivery. Inventory accuracy yields more accurate reporting and analytics, including predictive analytics. The ability to predict needs with confidence means a manager can tighten safety stocks, reducing the amount of inventory kept on hand “just in case” and can practice “just in time” strategies which optimizes space, time and cash flow, while still protecting the customer’s needs.
Accurate inventory of spare parts is also critical to aftermarket service, performing preventive maintenance and fulfilling service contracts with customers. Maintenance, whether on internal equipment or on customer-owned assets, requires inventory of replacement parts and routine consumables like lubricants, ink, filters and belts. Errors in inventory can be disastrous. Planning the projected need for replacement parts can be enhanced by smart Data Science using purchase data to project when replacements will be needed.
Warehouse management may seem like the last stop on the journey toward to the customer, so not critical. This is wrong. Inventory management is a critical part of customer centricity. It is complex, fraught with obstacles, and cluttered with expectations around product personalization. At the same time, it also offers a huge opportunity. When the warehouse management exploits technology, it can be an important differentiator. Inventory management can be a strategic part of the enterprise’s strategy to improve customer loyalty. The warehouse deserves priority status when allocating funds.

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                 BC. WXO  Innovative Warehouse Management Technologies to Adopt


When it comes to warehouse management, constant evaluation and adoption of crucial technologies is critical so as to improve profitability and stay competitive. Today, warehouse managers have a wide array of technologies to choose from as they strive to reduce costs, improve efficiency and streamline operations. They must ensure that goods, materials and products flow effortlessly by optimizing their warehouse operations through the use of warehouse technologies. What are some of the latest technologies being used in warehouse management today?

Machine-to-Machine Technology

Over the last few years, machine-to-machine technology, or M2M, has greatly evolved into more sophisticated systems that help monitor and streamline all automation aspects of warehouse operations. When combined with warehouse management systems (WMS), the latest M2M systems are making it easier to control all equipment within the warehouse that is vital to the order fulfillment process.
This technology helps collect and trade information that provides warehouse managers with actionable information that can verify operational procedures and expedite decisions.

Order Fulfillment Optimization Technology

Every warehouse should consider introducing the latest order fulfillment technology in the market. Different warehouse technology solutions are available to help maximize order picking productivity and boost accuracy. There are two main solutions: Pick-by-Light and Put-by-Light. These technologies help automate warehouse processes and offer a more efficient and lower cost solution over manual picking methods.

Pick-to-Light Systems

These systems use specific light displays to direct warehouse operators to product locations. They make it easier for operators to know which to products to pick and how many. These systems are highly flexible and the technology comes with the ability to plan, control and analyze volumes of orders picked.

Benefits of Pick-to-Light Systems:

  • Increased picking productivity
  • Better accountability
  • Real-time product or order sorting
  • Fewer errors

Put-to-Light Systems

This technology helps direct operators how and where to allocate products in a warehouse for orders. These systems are highly efficient when it comes to picking from bulk stock. The technology is ideal for retail warehouses that deal with apparel, sporting goods, personal care items, convenience foods, groceries and general merchandise.

Benefits of Put-to-Light Systems:

  • High-speed order sorting capability
  • Lower cost operation
  • Ideal for smaller but consistent daily orders
  • Requires less floor space
As new warehouse technologies evolve, Pick/Put-to-Light systems are also being custom designed to combine the durability needed to operate in different warehouse environments with the smart intelligence needed to run changing and diverse workflows with full transparency. The final result is technology that you can rely on to meet your distribution needs.

Warehouse Robotics Technology

New robotics technology has become one of the most sought after technologies for warehouse management. Leading-edge manufacturers are partnering with providers of warehouse management systems to create customized software and smart robots that help manage the movement, storage and sorting of warehouse inventory.
Investing in warehouse robotics technology will highly benefit you. With increasing order volumes, numerous products to navigate, highly personalized order packing and faster shipping requirements, robotics solutions will help you effectively respond to volume growth and perform more tasks with less labor and at a lower cost.

Benefits of Warehouse Robotics:

  • Reduced operational and labor costs
  • Improved productivity
  • Higher order accuracy
  • Faster cycle times
  • Reduced safety incidents
The increasing demand for higher levels of performance and flexibility in warehouse robotics is stimulating some innovative product developments and early adoptions of mobile warehouse robotics. As a warehouse manager, you should choose robotics technology that best suits your needs.

Voice Tasking Technology

This is a hands-free technology that uses spoken commands for picking, putting, receiving, replenishing and warehouse shipping functions. This technology is almost similar to RF technology and is a flexible choice for order fulfillment.

Benefits of Voice Tasking Technology:

  • Improved picking productivity
  • Increased picking accuracy
  • Requires less operator training
  • Improved system control
  • Real-time data analysis and communications
  • Higher ROI

Labor Management Systems 

To effectively manage and control warehouse operational expenses, warehouse managers have to invest in labor management technologies. Measuring productivity can seem challenging, but investing in labor management systems helps take out the guesswork in this critical measurement. When combined with warehouse management systems, you can easily drive reductions in labor costs.
Training is also a critical part of warehouse management. Innovative technology to consider is the use of a learning management system to train warehouse operators regularly. These training systems are designed to be easy to use and create training material and structures that suit your needs.

The Future of Warehouse Management Technology

As more advanced technology is introduced for the warehousing and logistics sectors, it is up to warehouse managers and firms to stay updated on the latest innovations. Upcoming technologies like Pick-by-Vision, Electronic Data Exchange and the use of drones will soon become mainstream in the industry. Implementation of the right technologies will be key to the smooth operations of warehouses and supply chains.


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              CD. WXO  The Past, Present, and Future of Technology in the Warehouse

Imagine stepping back in time to visit a large warehousing operation in 1990. If it were only possible, such an adventure would really throw today’s distribution center advances into focus.

To save you from a meltdown, let’s take a brief journey through warehouse operating developments from 1990 to 2045. While some imagination will still be required on this journey, most of the hard work has been done in the writing of this article, so you can shut down the imagination overdrive and cruise through this rundown of technology’s impact on warehouses and distribution centers.

1990: A Fine Vintage for Warehouse Operators

Welcome to our tour of a logistics warehouse in the late 20th century. Pay attention as we move through the building, because while a lot of things are different to the warehouse of today, many of them appear subtle to the eye, but have huge meaning in terms of warehouse efficiency and productivity.
Perhaps the first thing you’ll notice is just how many people there are. See that supervisor over there, distinguished from the operatives by his different coloured hi-vis vest? Look! There’s another supervisor, and another over there, although you can hardly see her for all the operatives moving among the pick faces in that aisle.

Warehouse Kiva Robots

That’s probably one of the first differences you’d notice between a warehouse of today and that of 25-plus years ago – and of course it’s down to technology.



Today’s warehouses need fewer operatives and hence, fewer line managers, because certain labour-reducing technologies have either made labour more efficient or eliminated it altogether. Let’s briefly consider those technologies:

WMS

Warehouse management systems have advanced considerably in the last couple of decades. In the process they have made many warehouse activities faster for people to perform and generated efficiencies to reduce labour-intensiveness. For example:
  • Paperwork and data entry: WMS has reduced the need for people to spend time completing paper forms or entering data from documents into spreadsheets and other data-management applications.
  • Picking efficiency: Warehouse operatives can pick faster with WMS, because the technology helps to organise warehouses more efficiently and (with features such as system-guided picking) enable more efficient working practices to be followed.
  • Task Interleaving: As WMS solutions have become more powerful, they have extended the concept of system-guidance across all activities, especially those performed by forklift operators.

Scanning Technologies

In 1990, picking was a task in which a warehouse operative would spend almost as much time recording activities on paper documents as performing the actual task of moving items from pick-face to pallet.


Technologies such as barcode scanning and RFID have taken away much of that administration effort, by allowing operatives to simply scan a pick face and enter picked quantities on a keypad.



More advanced solutions even eliminate the data entry altogether, leaving the operative to concentrate solely on the actual picking. Scanning technologies have had a similar impact in other areas of warehouse operation, such as receiving, put-away, and dispatch.

Voice Technology

By adding voice-guidance to the range of WMS functionalities, a warehouse operation becomes even more efficient, as operatives no longer need even to look down at a display to see their work instructions.


Instead warehouse staff listens to instructions and respond vocally, so the majority of their attention is always focused on “doing” without the distractions of task identification and recording.



Like other solutions already mentioned, voice technology reduces labour needs in more ways than one. In addition to helping warehouse personnel get more done in less time, it makes human error a less frequent occurrence, in turn reducing the need for labour to be expended on checking and rework.

Warehouse Automation

The mother of all warehouse technologies, warehouse automation has been responsible for more warehouse labour reduction than any other innovation and, as we’ll discuss a little later in this article, is only offering a fraction of its potential thus far.
Automated solutions are pervasive, and becoming more so as the technology improves in affordability as well as sophistication. The warehouse of 1990 was typically bereft of automation though, with the exception perhaps of rudimentary (but still important) solutions such as gravity-fed racking or in companies with larger budgets, pick-to-light systems.
Now, back to the tour…
Notice how many people on the warehouse floor have paperwork in their hands? In fact, there seems to be paper everywhere… And look up there in the racking. There are rows and rows of file boxes stored on pallets, presumably containing years of paper records and documents. What a wasteful use of good warehouse cube.

The Paperless Warehouse

Fast forward to the warehouse of today, and you’ll notice far less in the way of paper about the place. WMS software, scanning solutions, and other IT applications in the warehouse have eradicated the vast majority of paper forms and documents from the warehouse environment.

Cost of Lost Paper Document

As already discussed, less paperwork is less work full-stop. It also means physical space no longer has to be found for paper storage and archiving.



Warehouse technology has changed data entry processes, enabling data to be entered directly into digital storage and reducing the scope for errors caused by readability problems, lost paperwork, and other issues arising from the translation of handwritten data into electronic bits and bytes.
By removing the need for paper processes, warehouse technology has reduced operating costs (because companies don’t have to spend money on paper, related stationary, or the supply of pre-printed documents). It has also contributed to sustainability, since warehouse operations now place less demand on forestry resources.

A Summary of Our Trip Back in Time

Warehouse management systems, automation, barcode and RFID technologies, and voice guidance systems all combine to make warehouses more efficient, less impactful on the environment, and less reliant on manual labour.
Of course if you’ve been involved in warehousing for some years, it’s easy to overlook the huge differences between warehouses of today and those of the late 20th century, so a quick trip back in time would likely prove quite a shock to the system.

WMS Usage Statistic 2015

Even now, in our less labour-intensive warehouse environments, technological progress continues to disrupt and transform the way we manage inventory storage and throughput. Having taken a look back in time, we should take some time to explore what’s happening in warehouses today before speculating about what the future will bring.

Technology’s Direct Impact on Today’s Warehouses

Now we’re back from 1990, let’s take a look around today’s warehouse, but not one of those in your own organisation. Instead we’ll visit a couple of DCs that you’re not familiar with, to get a broad view of how technology is currently impacting warehouse operations.

Machine-to-Machine Technology Usage Statistic

First let’s visit this distribution centre run by a medium-sized enterprise. Aside from an absence of people with paper, let’s see what evidence we can find of technological impact.

The Partially Automated Warehouse

This warehouse is fairly advanced in terms of technology, but clearly not at the cutting edge. How do we know that?… Well, for one thing the lights are on, so although we can see some signs of automation, this is clearly a warehouse in which people still play a substantial role.
But look, here comes a forklift—without a driver?
Yes, warehouse operations are currently being disrupted by the development of advanced robotic systems, the most basic of which use digital add-on systems to transform forklifts and other types of MHE asset into robots.


A combination of sensors, cameras, lasers, and software can be used to enable forklifts to work alongside people, but without the need for human operators.



Some time ago we published a post about how brewing company Carlsberg uses these automated forklifts to move up to 500 pallets per hour around one of its Swedish distribution centres.
That’s just what we’re seeing here, a prime example of how even more people are being displaced from the warehouse environment by technology. Further examples can be seen if you look around. Over there for instance, you can see a number of pallets on turntables, spinning fast as they are cocooned in shrink-wrap ready for dispatch.

The Fully Automated Warehouse

Now let’s teleport (because we’re using our imaginations, remember?) to a large new distribution centre operated by a consumer goods brand. First let your eyes adjust to the gloom, because there are few lights on here.
This is a fully automated high bay warehouse, housing an automated storage and retrieval system (AS/RS). Linked to the centre’s WMS, cranes on rails fly up and down aisles of racks that extend from the floor to giddying heights above.


The cranes extract pallets using forks and transport them at incredible speed to a conveyor system, which will carry them to a dispatch area and straight into waiting trailers.



Automated warehouses certainly seem to be the ultimate in modern distribution centres, needing very few people to operate, offering high levels of productivity (because as well as being fast, they can operate 24/7/365), and offsetting some of the power they use by operating in an unheated or un-cooled environment, with little if any need for artificial lighting.
That being said, full automation is still a big ticket item in terms of capital costs, often requiring customised warehouse construction to house high-bay storage and specialised infrastructure. That’s why it’s rare to see such advanced levels of technology in use by smaller supply chain organisations.

Automated Warehouse Benefits

For companies that can afford it, and operate in sectors compatible with automated logistics, full automation delivers a great many benefits, including:
  • Significant labour cost reduction
  • Superior levels of productivity
  • A high degree of efficiency
  • Minimal risk of processing errors
  • Improved inventory management
  • Increased supply chain speed
While full automation is still relatively rare, even traditional man-to-goods warehouse operations have been impacted by new technologies, though people may still shoulder the greatest part of the workload. Indeed, few businesses remain untouched by the disruptive influence of information technology.

The IT Impact on 21st Century Warehouses

While automation removes the need for manpower, many companies still consider it either too expensive to implement, or are concerned about the length of time to ROI, which is typically around five years. On the other hand, many software solutions offer a much faster return on investment and are affordable even for smaller businesses.


We’ve already discussed WMS, but other IT applications have also been involved in making today’s warehouse operations more efficient and cost-effective.



Sophisticated analytics help operators find and eliminate process weaknesses; Inventory management software helps companies to optimise stock levels, while modeling tools do the same in construction design and warehouse layout planning.

The Indirect Impact of Technology

When considering the impact of technology on warehouses and distribution centres, it would be remiss to overlook disruptive technology in the wider commercial environment. So before moving on to visit the warehouse of the future, let’s briefly reflect on how warehouse operations have been indirectly impacted by technological advances.


The biggest of these disruptions has been driven by changes in consumer behaviour, which in turn have been enabled by perhaps the most significant innovation of the last century – the Internet.



As consumers have progressed from shopping online to mobile shopping, they have driven a revolution in retail commerce, which has in turn set off a ripple effect to initiate similar changes in business-to-business trading.

Lost opportunity cost for omnichannel retail

Today it’s all about the omnichannel experience—and that has changed the entire supply chain profile in many industries and commercial sectors. All this transformation has led to a distinct shift in warehouse function, from being a staging point for supply chain inventory, to becoming a vital element of the value chain.

The Expanding role of the Warehouse

Few warehouses today are simply storage spaces, but instead host multiple value-adding processes, like just-in-time packaging, assembly, product customisation, and in some cases, customer collection services.
Ironically, the need to add value within warehousing operations has partly slowed the rate at which human operatives become obsolete, since a lot of value-adding tasks require skills that can’t yet be replaced by automation.
The respite however, could be short-lived, as a new wave of disruptive technology emerges—one which many believe will spell the end of the warehouse as a significant source of employment and transform it into a centre of wholly automated activity.

2045 Here We Come


Automated vs Human Labor Cost Statistic

To understand why warehouses may soon be devoid of human presence, we should return to our tour, but instead of jumping straight to the warehouse of 2045, we’ll take a slow sojourn through the next few years to come. Along the way we’ll look at how robotics, sensors, machine-to-machine communication, and the Internet of Everything may make warehouses ever more efficient to operate, while gradually eliminating the need for a human workforce.

Rise of the Robotic Warehouse

In earlier sections of this article, we touched on some of the limitations of current automation technology. To recap, we discussed the need for specialised warehouse infrastructure and the associated cost of constructing purpose-built automated warehouses. We also discovered that some tasks being performed in today’s warehouses require human dexterity and judgment.
All that may soon change, as robotics development begins to solve these problems. However, this article isn’t intended to fuel debates about whether replacing warehouse workers with robots is a good or bad thing.


Instead it’s an attempt to look objectively at future possibilities to improve warehouse operations through the use of technology. So let’s move on and do just that.



Robotics is probably the answer to many automation constraints in warehousing. For example, unlike automated storage and retrieval systems, robotic warehouse machinery (even at the current time) is able to operate in any industrial space, meaning it can be deployed in existing warehouses without expensive structural modifications.
At the same time, robotic capabilities are continually improving; with robots being developed that can perform tasks such as dressmaking, which up to now has always required a human touch. They are also becoming increasingly mobile and capable of multitasking, which means companies will need less machinery to perform more activities.

Robotic Opportunities for All?

If you need evidence of robots’ pervasiveness in warehousing, consider the examples of Amazon, which as of December 2016, had 45,000 robots employed across 20 distribution centres, and bulk grocery superstore Boxed, which replaced 75% of warehouse jobs at one fulfillment centre with robotic order pickers.
By the time we get to 2045, it’s very possible that human warehouse operatives will be a rare sight indeed, as multi-functioning robots become an affordable investment for many companies. Smaller businesses may access robotic technology too, by contracting with third-party warehouse providers which thanks to robotic advances, will make outsourcing the most economically viable way to stage and store inventory.

But What About the Warehouse?

Of course there is more to a warehouse than the operation it houses, and as time goes on, technology will impact warehouse facilities by changing the way they are constructed, maintained, and powered.
Take warehouse lighting for example. If we take a brief hop back to 1990, when you were looking up at all those boxes of papers in the racking, did you notice the forest of light fittings hanging from the ceiling?


Energy use in DC

Those were probably metal halide, sodium, or florescent lamps, all of which are expensive to run on an industrial level and are constructed using materials harmful to the environment.



These lighting solutions are slowly but surely disappearing from the modern warehouse environment, to be replaced by more economical and environmentally friendly light sources, such as LED and induction lamps.
The cost of lighting warehouses is considerable, since illumination must be bright enough for staff to work productively and safely, so it’s no surprise that companies are quick to take advantage of new lighting technology. LED industrial lighting consumes a fraction of the electricity needed to run conventional lamps, and when combined with management systems using sensors and timers, becomes even more economical.

No Need for Creature Comforts

Moving ahead into the near future, we’re likely to see warehouses make further savings on energy costs as automation takes over. Automated machinery and robots need no ambient lighting to operate, so while lighting may be in place for emergency situations or for service/maintenance purposes, it will seldom be switched on.


The cost of artificial temperature control too, will be minimised, since temperatures will only need managing for inventory quality, not for human comfort.



It’s entirely possible that by the year 2045, the warehouse management system will be much more worthy of the title, able to control every aspect of warehouse operation, including security, receiving, put-away, storage, picking, and dispatch, as well as lighting, temperature control, indirect materials purchasing and even some, if not all, maintenance.

The Living, Sensing Warehouse

In the warehouse of 2045, sensor technology will enable everything from mechanical handling equipment, through warehouse robots and storage racks, to the very fabric of the warehouse structure, to monitor conditions and performance.
Machine-to-machine communication will enable the sensors to relay data constantly to the warehouse management system, while integrated analytics and machine-learning capabilities enable that system to pass instructions back to warehouse robots (perhaps including aerial drones for certain high-level tasks).
Interpreting those instructions, the robots will respond appropriately to perform basic maintenance and repair tasks on the building, MHE, automated machines, and perhaps even themselves or each other… And so the warehouse of 2045 becomes a virtual living entity, capable of taking care of itself and the operations it houses, with minimal need for human intervention.
While a certain amount of human expertise may still be needed, there’s every chance that warehouse managers and technicians will simply monitor the operational status from their homes, using laptops or tablets, make adjustments as needed, and occasionally respond to more serious situations by riding out in their (probably driverless) cars to get hands-on with machinery or inventory.

Warehouses Get Bigger, Smaller, Fewer?

So now, with the help of this article and a little imagination, you have an idea of what the warehouse operation of 2045 might look like, but what we haven’t yet explored is the possibility that technology may impact the very existence of warehouses.
Omnichannel commerce could for example, see warehouses evolve into a combination of mega-centres (hosting operations for multiple companies in shared environments) and urban mini-warehouses, used to place inventory close to target consumer markets.

3D Printing Worth by 2025

On the other hand, as technological capabilities develop throughout the supply chain, and techniques such as additive manufacturing make it increasingly possible to produce items on demand, it’s possible that some supply chains may evolve in which warehouses are completely unnecessary. The result could be an overall reduction in the global warehouse footprint.


While we can probably all agree on how warehouses looked in 1985, we each have individual and unique perspectives on today’s use of warehouse technology, typically influenced by the operations that we’re most familiar with.
For example, the views in this article are influenced by the projects we get involved in as a supply chain consulting company, but your company may be using technology in different ways, and your take on future developments may be very different.



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                       DE. WXO  Supply Chain Management for Aviation Industry


                                             Efficient_Supply_Chain_Management

Supply Chain Automation means managing an optimised inventory. It means having the critical equipments in stock and keeping idle items minimised. The Airline Industry are increasingly focused towards reducing their reducing the maintenance costs, keeping a high level of inventory accuracy & deliver high levels of service. Supply chain automation is a great tool to achieve that.

The aviation sector handles items, which are capital-intensive. The items also involve a huge number of components. A lot of these components are moving, creating challenges to track the inventory accurately. The value of the inventory items is in rotable parts. These issues make supply chain management all the more challenging for the aviation industry.

1. Benchmarking and planning of supply chain activities for aviation. The key measures include forecasting the customer requirements, capacity management, analyse the demand patterns, addressing key bottlenecks like hangar space, logistics, engine maintenance etc.

2. Manage Material Request Cycle with complete analysis of requests, days to fulfill the order, delays in processing, warehouse statistics and priority levels etc. The complete lifecycle management can be optimised using SCM tools.

3. Inventory Analysis is used to determine the accuracy of stock, the quantity of items and its values. The aircraft industry is capital intensive with low profit margins; hence keeping an optimised inventory is very important. The value of the stock & the volumes are analysed. The historical records are kept for analysis.

4. Maintenance Operations are scheduled and recorded to keep track of costs. The planned & unplanned maintenance are recorded. The costs for components, time, labour materials etc are taken into account. The cost of ownership also involves effective loss with unplanned maintenance.

5. Vendor & Contract Management is integrated. The supply chain management is particularly complex keeping in mind the global vendor management. Dealing with orders, contracts of vendors from different countries and managing them transparently. The integration of components, materials, structures and systems need to ensure best results to achieve operational success.

6. Track Lifecycle of Aircrafts using SCM. The components and life of the aircrafts are managed with predictive alerts. Know when the component is due for maintenance or is past its useful life with predictive notifications. The items are tracked on a regular basis for proactive replacement of critical items.

7. Invoicing, Bills and stock management can be done with high accuracy. The invoices from multiple vendors in different countries are managed on a single platform. Ensure quality checks, receiving inventory items and processing of bills using an integrated interface.

8. Track & Measure things that matter. Dashboards, key performance indicators are used for planning. The consumption history, maintenance expenses, remaining life of components etc can be used for better capital & operational expenses planning.

The SCM system ensures not only optimised inventory, stock, streamlined procurement and improvised operations. But also results in improved turnaround time from vendors, better warranty and contract managements resulting in overall performance gains for aviation companies. The turnaround time for unplanned maintenance also improves significantly. The gaps between demand & supply can be closed leading to a lean inventory with automated replenishment.


                                   AEROSPACE INVENTORY MANAGEMENT
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Improve Efficiency (Inventory Management)
Efficiency within the aerospace supply chain is essential in order to maintain profitability

Aerospace Inventory Management is need comprehensive inventory management system increases efficiency by ensuring the right stock is at the right place at the right time. When a more transparent view of the supply chain is available, business becomes less reactionary.  Movement of stock can be closely monitored and management can focus resources on proactive inventory planning rather than putting out fires from day to day. It becomes easy to recognize in-service fleet size and location changes. The reliability rate for spare parts becomes simple to comprehend. And, large amounts of data from the Big Data revolution begin to be collected efficiently and effortlessly analyzed to create innovative, knowledge-based strategies that impact the bottom line.
Telematics tracking creates mountains of Big Data useful for inventory planning, and it is becoming increasingly more popular with aerospace manufacturers. This information can be used to drive spare part planning requirements through predictive maintenance.  By having the correct parts available when maintenance is planned, aircraft spend less time on the ground. Telematics is still in its infancy but Inventory Management .

Connect Key Players (Collaborative Inventory Management)
Once the groundwork for a solid inventory management solution has been put in place, aerospace companies can continue to reap rewards by sharing future demand plans and inventory across the entire supply chain ecosystem.  Similar to retail inventory management in other industries
A collaborative approach between aerospace integrators, MROs, and OEMs, helping pass inventory details seamlessly between entities without delay and allowing everyone involved to speak the same language. Instant feedback from the entire network can drive productivity, profit, and customer loyalty while reducing inventory and risk.


Merge Pricing Capabilities (Price Management)
Inventory management is extremely powerful. But those in aerospace who are even more serious about improving profits will want to take things even further by considering value-based pricing solutions as well. After all, optimum pricing strategies cannot be established without understanding the effects a price change will have on sales and, therefore, both inventory and availability.

Software as a Service (SaaS)
The historical concerns around data security and co-located data has given way to the realization that SaaS is the most cost effective way to deliver, administer and upgrade software.  The web-based model not only keeps the total cost of ownership low, but also reduces complexity and aids in transparency by giving users access to real-time accurate information around the clock. 

Do the math! Comprehensive inventory management solutions can produce huge advantages for those in the aerospace industry :
  • Having the right parts in stock reduces aircraft on ground (AOG) incidences, and improves turnaround times.  This leads to a higher customer satisfaction rating and additional revenue from repeat customers.
  • Reducing excess stock frees up capital that can be put to better use growing the business.
  • Forecasting can be improved making it simple to anticipate all types of demand patterns (including slow, lumpy and erratic).
  • Automating day-to-day activities saves time and allows management by exception.
  • By creating more predictability, warehouses become more efficient. Handling and transportation costs decrease.
  • Cost reduction opportunities can be more easily identified.
  • Value chain analysis improves.
  • Overall profitability increases.

                                         Asset Management Programs - Rotables and Repairables



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Senin, 25 Februari 2019

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                         why touchscreens have been restricted in the aircraft cockpit ?

Mechanical switches in an airplane cockpit rely on mechanical actions performed with a certain force. They are designed with specific intention or purpose and nearly all of them have different textures, heights, sizes or shapes, with different modes of operation and used to perform various switching functions.

Cockpit switching operations are based on verification of various Functions using two important complementary tools together, called Checklist (a list of items in a given sequence) and Flow (a pattern of movement of the pilot’s hand in the given sequence across the aircraft controls [mechanical switches]) to accomplish the verification. There are several functions that the pilot has to verify, from pre-takeoff to post landing.

The mechanical switches are arranged, in serial order, vertically, from bottom to top in the cockpit panel.


                                                   Dynamic Environments

a. Turbulence
During turbulence, the pilot’s head almost hits the ceiling and the hands and body become unstable, how can a touch accuracy be confirmed at a ‘correct location’ on a flat smooth screen? Touch screens are hard to use when the pilot’s hand is not stable.
b. Vibrations
Touch screens vibrate during rough weather, which can result in false or non-detected touches by the pilot.
c. Clear readability
Fingerprint residues on the touch screen results in poor sunlight readability. Not applicable to mechanical switches

In such dynamic environments and emergency situations the use of touch screen becomes completely useless. It is far easier and reliable to press a physical button, without pressing an adjacent button. Definitely, the mechanical switches solution is head and shoulders above any solution with a touchscreen!



Cockpit touch screen 768x516 - Why Touchscreens are Still Knocking the Doors for Entry into the Aircraft Cockpit?

                                               COCKPIT ON THE FUTURE

Technology is evolving and the creation of advanced cockpit screens (display units) and touch screens (resistive and capacitive), calls for the conformity to the stringent testing standards. Precise testing is the key to conformity in air safety. Robotic testing is rigorous, accurate and in-depth. Invariably, advanced robotic testing platforms are used today for testing, not only of touch screens but also device, control and instrumentation panels with their associated switches.
The pilot’s first responsibility is to fly the airplane safely under all conditions. Mechanical switches have proven their reliability in all cockpit operation scenarios.  So as on date, the trade-off between concerns of human safety and usage of touch screens to accomplish functions in the aircraft cockpit is non- existent! Till such time, pilots in the cockpit have to perform traditionally with their ‘heads up’ and ‘eyes out’.

Get Automated

Applications of robotic automation are already in place in every industry



                                    AB . WXO   Introduction to Instrumentation

inf5 - Robotic Testing in the Aviation Industry



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Instrumentation is a big word, with a broad and rich set of meanings. Like most words with multiple interpretations, the exact meaning is largely a function of the context in which it is used, and who is using it.
Instrumentation can be defined as the application of instruments, in the form of systems or devices, to accomplish some specific objective in terms of measurement or control, or both. Some examples of physical measurements employed in instrumentation systems are listed in Table 1-1.


Table 1-1. Examples of physical measurements
AccelerationMass
CapacitancePosition
Chemical propertiesPressure
ConductivityRadiation
CurrentResistance
Flow rateTemperature
FrequencyVelocity
InductanceViscosity
LuminosityVoltage

As natural human language is an imprecise communications medium, contextually sensitive and rife with multiple possible meanings, the preceding definition still covers a lot of territory. To a process engineer, it might mean pressure sensors, heater elements, solenoid-controlled valves, and conveyors. A research scientist might think of lasers, optical power sensors, servo-driven X-Y microscope stages, and event counters. An electrical engineer might define instrumentation as digital voltmeters, oscilloscopes, frequency counters, spectrum analyzers, and power supplies.
Generally speaking, whatever can be measured can also be controlled, although some things are more difficult to control than others (at least with our current technology). When a measured input value is used to generate a control output for a system, often referred to as the plant, the input may need to be modified, or transformed, in some way in order to match the operating parameters of the system. This might entail amplification, conversion from current to voltage, time delays, filtering, or some other type of transformation.

we will examine how to utilize computer-based instrumentation using readily available low-cost devices, along with the Python programming language (primarily), to perform various tasks in data acquisition and control. Using a high-level approach, this chapter introduces some of the basic concepts we will be working with throughout the rest of the book. It also shows some simple instrumentation examples. If you are not familiar with some of the concepts introduced in this chapter, don’t be overly concerned about it. We will discuss them in more detail later. The primary objective here is to lay some groundwork and introduce some basic terminology.

Data Acquisition

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From a computer’s viewpoint, all data is composed of digital values, and all digital values are represented by voltage or current levels in the computer’s internal circuitry. In the world outside of the computer, physical actions or phenomena that cannot be represented directly as digital values must be translated into either voltage or current, and then translated into a digital form. The ability to convert real-world data into a digital form is a vast improvement over how things were done in the past.
In the days of steam and brass, one might have monitored the pressure within a boiler or a pipe by means of a mechanical gauge. In order to capture data from the gauge, someone would have to write down the readings at certain times in a logbook or on a sheet of paper. Nowadays, we would use a transducer to convert the physical phenomenon of pressure into a voltage level that would then be digitized and acquired by a computer.
As implied above, some input data will already be in digital form, such as that from switches or other on/off–type sensors—or it might be a stream of bits from some type of serial interface (such as RS-232 or USB). In other cases, it will be analog data in the form of a continuously variable signal (perhaps a voltage or a current) that is sensed and then converted into a digital format.
When referring to digital data, we mean binary values encoded in the form of bits that a computer can work with directly. Binary digital data is said to be discrete, and a single bit has only two possible values: 1 or 0, on or off, true or false. Digital data is typically said to have a size, which refers to the number of bits that make up a single unit of data. Figure 1-1 shows digital data ranging from a single bit to a 16-bit word. The size of the data, in bits, determines the maximum value it can represent. For example, an 8-bit byte has 256 possible unique values (if using only positive values).



Binary data sizes
Figure 1-1. Binary data sizes
For inputs from things such as sensor switches, the size might be just a single bit. In other cases, such as when measuring analog data like pressure or temperature, the input might be converted into binary data values of 8, 10, 12, 16, or more bits in size. The number of available bits determines the range of numeric values that can be represented. Although it’s not shown in Figure 1-1, binary data can represent negative values as well as positive values, and there is a standard format for handling floating-point values as well.
Analog data, on the other hand, is continuously variable and may take on any value within a range of valid values. For example, consider the set of all possible floating-point values in the range between 0 and 1. One might find numbers like 0.01, 0.834, 0.59904041123, or 0.00000048, and anything in between. The name analog data is derived from the fact that the data is an analog of a continuously variable physical phenomenon.
Figure 1-2 shows the various types of inputs that may be found in a computer-based data acquisition system. Switches are the equivalents of single binary digits (bits). A serial communications interface may be a single wire carrying a stream of bits end-to-end, where each set of 8 bits represents a single alphanumeric character, or perhaps a binary value. Analog input signals, in the form of a voltage or a current, are converted into digital values using a device called an analog-to-digital converter (ADC). We will take a close look at these devices—and their counterparts, digital-to-analog converters (DACs)—in Chapter 2.

Digital and analog data inputs
Figure 1-2. Digital and analog data inputs

Control Output

Whereas the data acquisition part of an instrumentation system senses the physical world and provides input data, the control part of an instrumentation system uses that data to effect changes in the physical world. Control of a physical device involves transforming some type of command or sensor input into a form suitable to cause a change in the activity of that device. More specifically, control entails generating digital or analog signals (or both) that may be used to perform a control action on a device or system. Linear control systems can be broadly grouped into two primary categories, open-loop and closed-loop, depending on whether or not they employ the concept of feedback.
Another common type of control system, the sequential control, utilizes time as its primary control input. In a sequential system, events occur at specific times relative to a primary event, and each event is typically discrete. In other words, a sequential event is either on or off, active or inactive. A computer  is, by its very nature, a form of sequential controller, and sequential controls can usually be modeled using state machines. We’ll look at state diagrams in Chapter 8.
We will encounter all three types of control systems in this book. Chapter 9 goes into the theory behind them in more detail, but for now, a high-level overview will suffice to set the stage.

Open-Loop Control

In an open-loop scheme, there is no feedback between the output and the control input of the system. In other words, the system has no way to determine if the control output actually had the desired effect. However, this doesn’t prevent it from being useful. The accuracy of an open-loop control system depends on the accuracy of its components and how well the system models what it is controlling. Figure 1-3 shows a simple block diagram of an open-loop control system. The block labeled “Controlled Device” might be an electric motor, a lamp, a fan, or a valve. While it might appear that there isn’t much going on here, open-loop controls can actually entail a high degree of complexity and they are fairly common.

Open-loop control
Figure 1-3. Open-loop control
Even though an open-loop control system is “blind,” in a sense, it can still incorporate time into its design. An automatic light switch is one possible real-world example. A greatly simplified diagram of such a device is shown in Figure 1-4.

Open-loop control example
Figure 1-4. Open-loop control example
These popular devices contain a sensor (typically infrared) that will activate a floodlight if something appears in the field of view of the sensor. There is no feedback to ensure that the lights actually come on (at least, not in the typical units for residential use), nor can the sensor easily distinguish between a burglar and a large housecat.
An automatic light does, however, have a built-in time delay to hold the light on for a period of time after the sensor’s input threshold has been crossed; otherwise, it would just turn on and then immediately turn back off again when the sensor input dropped back below the threshold. This is shown in the diagram in Figure 1-5. If there were no time delay to hold the lamp on, a large housecat hopping up and down in front of the sensor would cause the light to flash on and off repeatedly. This would probably annoy the neighbors (then again, automatic lights with excessive time delays can annoy the neighbors as well).

Closed-Loop Control

A closed-loop control scheme utilizes data obtained from the device or system under control, known as feedback, to determine the effect of the control and modify the control actions in accordance with some internal algorithm (also known as the “control laws”). Figure 1-6 shows a block diagram of a basic closed-loop control system.



Open-loop control with time delay
Figure 1-5. Open-loop control with time delay

Closed-loop control
Figure 1-6. Closed-loop control
Notice that the control input and the feedback signal are summed with opposing signs at the circle symbol in Figure 1-6, which is called a “summing junction” or “summing node.” The output is called the control error. This is because the key to a closed-loop control is the response of the controlled device to the control signal generated by the block labeled “Control Signal Processing.” The control error is input to the control signal processing block, and the system will attempt to drive its control output into the controlled device to whatever extent is needed or possible in order to make the control error zero. Those readers who are familiar with operational amplifier (op amp) circuits will recognize this immediately: it’s the same principle that op amp circuits are based on.
As one might suspect, there is more going on here than the system diagram in Figure 1-6 shows. Both the control and feedback processing blocks may have some degree of amplification (gain) incorporated into their design. They may also include attenuation, filters, or limit thresholds. Gain levels are selected based on the application, and responses may even be nonlinear if necessary.
Here’s a somewhat more interesting closed-loop control example. Let’s assume that we want to maintain a constant fluid level in a storage tank while its contents are removed at varying rates. At some times the drain rate may be quite high, while at other times it may be very low or even zero. Figure 1-7 shows the setup and its associated control loop.

Closed-loop fluid level control
Figure 1-7. Closed-loop fluid level control
A sensor measures the fluid level in the tank, and if it is below the commanded value the rate of the input pump is commanded to increase so more fluid will enter the tank. As the fluid level approaches the target setting, the rate of the pump decreases, and once the target is reached it stops completely. This arrangement will automatically compensate for changes in how fast the fluid is drawn off from the tank, so long as the drain rate does not exceed the ability of the pump to keep up with it.

Sequential Control

Sequential controls are a very common form of control system and are straightforward to implement. Automated packaging systems, such as those used to form cereal boxes or fill plastic bags with animal feed, are typically timed sequential controls that perform specific actions using electrical or pneumatic actuators. Other sequential controls might employ some type of sensing to change sequences as necessary, or to sense a fault condition and halt the system.
Figure 1-8 shows the timing diagram for a sequential AC power controller with five devices. In this example, a delay after each device is powered on allows it to stabilize and respond to a query to verify that it is functioning correctly. In a system such as this, each device would typically have three possible states: On, Off, and Fail. In addition to commanding the devices on or off in a timed sequence, the controller would also check each device to verify that it powered up correctly. Should a device fail, the controller would either halt the sequence or begin an automatic shutdown by disabling the devices already enabled, in reverse order.

Sequential power control
Figure 1-8. Sequential power control

Applications Overview

Let’s take a quick tour of some real-world examples of computer-based instrumentation applications. Please bear in mind that these examples are intended to show what one can do with automated instrumentation, not as specific, detailed examples of how to do something. In later chapters we will get into the specifics of interfaces, control protocols, and software algorithms.

Electronics Test Instrumentation

In an electronics laboratory, or even a well-equipped hobbyist’s workshop, it wouldn’t be unusual to encounter oscilloscopes, logic analyzers, frequency meters, signal generators, and other such devices. While these are useful devices in their own right, when incorporated into an automated system they can become even more useful.
In order to use a piece of test equipment in an automated setup, there must be some type of control or acquisition interface available. Many modern instruments incorporate USB, Ethernet, GPIB, RS-232, or a combination of these (these interfaces are examined in Chapters 7 and 11). In some cases, they are standard features; in other cases, the functionality must be ordered as a separate option when the instrument is purchased.
Figure 1-9 shows a simple arrangement for driving a device (the unit under test, or UUT) with a signal while controlling its DC power source, and acquiring measurement data in the form of logic analyzer traces and digital multimeter (DMM) readings.
The simple setup shown in Figure 1-9 has one instrument connected as a primary stimulus input to the UUT: namely, the signal generator. The signal it generates has a programmable shape (waveform) and rate (frequency). The signal level (amplitude) can also be controlled by the PC. There are two instruments connected to outputs from the UUT to capture digital logic signals (the logic analyzer) and one or more voltages (the DMM). A programmable power supply rounds out the instruments by providing a computer-controlled source of power to the UUT.
In this example, the various instruments are connected to the PC using a General Purpose Interface Bus (GPIB, also referred to as IEEE-488). There are various GPIB interface components available, ranging from plug-in PCI cards to external USB-to-GPIB adapters. Later in this book, we’ll examine some of these and look at various ways to write software for them in order to control instruments and collect data.
But what does it do? What Figure 1-9 shows could well be a performance characterization setup. If the UUT generates a pattern of digital signals in response to an input from the signal generator, this test arrangement will capture that behavior. It will also capture how the UUT’s behavior might change as the output from the programmable power supply is changed, or how some internal voltage might change as the frequency of the input from the signal generator changes. All of this data can be displayed on the PC’s monitor and captured to disk for storage and possible analysis at a later time.

Test instrumentation example
Figure 1-9. Test instrumentation example

Laboratory Instrumentation

A research laboratory might contain pH meters, temperature sensors, precision ovens, tunable lasers, and vacuum pumps (for starters). Figure 1-10 shows an example of an instrumentation system for controlling an environmental chamber.
For our purposes, it’s not really important what the chamber is used for (it could be used for microbe cultures, or perhaps for epoxy curing). What is important are the instruments connected to it and how they, in turn, are interfaced to the computer. Whereas in the previous example the instrument interface was implemented using GPIB, here we have plain old vanilla serial connections in the form of RS-232 interfaces.
The data acquisition instrument is responsible for sensing and converting analog signals such as temperature, and perhaps humidity. It might also monitor the electrical status of any heaters or coolers attached to the chamber. The power controller instrument is responsible for any heaters, coolers, cryogenic valves, or other controlled functions in the chamber.

Laboratory instrumentation example
Figure 1-10. Laboratory instrumentation example
The primary objective of a setup such as this would probably be to maintain a specific temperature over time within some predefined range. It might also incorporate temperature ramp-up and ramp-down characteristics, depending on what exactly it is being used for. Generally, nothing in a system like this happens on a short time scale; significant changes may take anywhere from minutes to hours.
If implemented as a bang-bang controller, a type of on-off non-linear controller that we will look at in detail later on, there won’t be any need to vary the amount of power applied to the heaters or the cooling system. It operates much like the thermostat in a house. The instrumentation can utilize the rather slow RS-232 interfaces because there is no need to run the controller with a small time constant (i.e, a fast acquisition rate).

Process Control

The diagram in Figure 1-11 is a representation of a simple automated process control system. This system might be intended for producing artificial maple syrup, or it could be some other kind of controlled chemical reaction to produce a specific output product. Note that the diagram is somewhat nonstandard, mainly because its intent is to illustrate without getting wrapped up in the details of standardized process control symbology.
In Figure 1-11, we see yet another type of interface—the USB interface module. These are common and relatively inexpensive. You can even buy one as a kit if you feel inclined to build it yourself. Many provide a set of discrete inputs and outputs, some analog inputs with 10- or 12-bit conversion, and perhaps even some analog outputs or a pulse-width modulation (PWM) channel or two.

Simple chemical processing system
 
Figure 1-11. Simple chemical processing system
There are four valves in the diagram shown in Figure 1-11, labeled V1 through V4, each of which is connected to one of the discrete outputs from the USB interface module. A heater is also connected to a discrete output. Note that the diagram does not show any circuitry that might be necessary to convert the 5-volt discrete signal from the USB controller into something with enough current and/or voltage to drive the valves or the heater.  Three analog inputs are used to acquire liquid level, temperature, and pressure data from sensors.
As with the previous example, this probably would not be a high-speed system. It would most likely perform just fine if the sensors were read and the controls (valves and heater) updated every 1 to 5 seconds.

Summary

The domain of instrumentation applications is both broad and deep .


                                        
                                 BC. WXO   Digital computer

Digital computer, any of a class of devices capable of solving problems by processing information in discrete form. It operates on data, including magnitudes, letters, and symbols, that are expressed in binary code—i.e., using only the two digits 0 and 1. By counting, comparing, and manipulating these digits or their combinations according to a set of instructions held in its memory, a digital computer can perform such tasks as to control industrial processes and regulate the operations of machines; analyze and organize vast amounts of business data; and simulate the behaviour of dynamic systems (e.g., global weather patterns and chemical reactions) in scientific research.

Functional elements

A typical digital computer system has four basic functional elements: (1) input-output equipment, (2) main memory, (3) control unit, and (4) arithmetic-logic unit. Any of a number of devices is used to enter data and program instructions into a computer and to gain access to the results of the processing operation. Common input devices include keyboards and optical scanners; output devices include printers and monitors. The information received by a computer from its input unit is stored in the main memory or, if not for immediate use, in an auxiliary storage device. The control unit selects and calls up instructions from the memory in appropriate sequence and relays the proper commands to the appropriate unit. It also synchronizes the varied operating speeds of the input and output devices to that of the arithmetic-logic unit (ALU) so as to ensure the proper movement of data through the entire computer system. The ALU performs the arithmetic and logic algorithms selected to process the incoming data at extremely high speeds—in many cases in nanoseconds (billionths of a second). The main memory, control unit, and ALU together make up the central processing unit (CPU) of most digital computer systems, while the input-output devices and auxiliary storage units constitute peripheral equipment.

Development of the digital computer

Blaise Pascal of France and Gottfried Wilhelm Leibniz of Germany invented mechanical digital calculating machines during the 17th century. The English inventor Charles Babbage, however, is generally credited with having conceived the first automatic digital computer. During the 1830s Babbage devised his so-called Analytical Engine, a mechanical device designed to combine basic arithmetic operations with decisions based on its own computations. Babbage’s plans embodied most of the fundamental elements of the modern digital computer. For example, they called for sequential control—i.e., program control that included branching, looping, and both arithmetic and storage units with automatic printout. Babbage’s device, however, was never completed and was forgotten until his writings were rediscovered over a century later.
Of great importance in the evolution of the digital computer was the work of the English mathematician and logician George Boole. In various essays written during the mid-1800s, Boole discussed the analogy between the symbols of algebra and those of logic as used to represent logical forms and syllogisms. His formalism, operating on only 0 and 1, became the basis of what is now called Boolean algebra, on which computer switching theory and procedures are grounded.
John V. Atanasoff, an American mathematician and physicist, is credited with building the first electronic digital computer, which he constructed from 1939 to 1942 with the assistance of his graduate student Clifford E. Berry. Konrad Zuse, a German engineer acting in virtual isolation from developments elsewhere, completed construction in 1941 of the first operational program-controlled calculating machine (Z3). In 1944 Howard Aiken and a group of engineers at International Business Machines (IBM) Corporation completed work on the Harvard Mark I, a machine whose data-processing operations were controlled primarily by electric relays (switching devices).

Since the development of the Harvard Mark I, the digital computer has evolved at a rapid pace. The succession of advances in computer equipment, principally in logic circuitry, is often divided into generations, with each generation comprising a group of machines that share a common technology.

In 1946 J. Presper Eckert and John W. Mauchly, both of the University of Pennsylvania, constructed ENIAC (an acronym for electronic numerical integrator and computer), a digital machine and the first general-purpose, electronic computer. Its computing features were derived from Atanasoff’s machine; both computers included vacuum tubes instead of relays as their active logic elements, a feature that resulted in a significant increase in operating speed. The concept of a stored-program computer was introduced in the mid-1940s, and the idea of storing instruction codes as well as data in an electrically alterable memory was implemented in EDVAC (electronic discrete variable automatic computer).



The second computer generation began in the late 1950s, when digital machines using transistors became commercially available. Although this type of semiconductor device had been invented in 1948, more than 10 years of developmental work was needed to render it a viable alternative to the vacuum tube. The small size of the transistor, its greater reliability, and its relatively low power consumption made it vastly superior to the tube. Its use in computer circuitry permitted the manufacture of digital systems that were considerably more efficient, smaller, and faster than their first-generation ancestors.



The late 1960s and ’70s witnessed further dramatic advances in computer hardware. The first was the fabrication of the integrated circuit, a solid-state device containing hundreds of transistors, diodes, and resistors on a tiny silicon chip. This microcircuit made possible the production of mainframe (large-scale) computers of higher operating speeds, capacity, and reliability at significantly lower cost. Another type of third-generation computer that developed as a result of microelectronics was the minicomputer, a machine appreciably smaller than the standard mainframe but powerful enough to control the instruments of an entire scientific laboratory.


 
A typical integrated circuit, shown on a fingernail. 
 
The development of large-scale integration (LSI) enabled hardware manufacturers to pack thousands of transistors and other related components on a single silicon chip about the size of a baby’s fingernail. Such microcircuitry yielded two devices that revolutionized computer technology. The first of these was the microprocessor, which is an integrated circuit that contains all the arithmetic, logic, and control circuitry of a central processing unit. Its production resulted in the development of microcomputers, systems no larger than portable television sets yet with substantial computing power. The other important device to emerge from LSI circuitry was the semiconductor memory. Consisting of only a few chips, this compact storage device is well suited for use in minicomputers and microcomputers. Moreover, it has found use in an increasing number of mainframes, particularly those designed for high-speed applications, because of its fast-access speed and large storage capacity. Such compact electronics led in the late 1970s to the development of the personal computer, a digital computer small and inexpensive enough to be used by ordinary consumers.


By the beginning of the 1980s integrated circuitry had advanced to very large-scale integration (VLSI). This design and manufacturing technology greatly increased the circuit density of microprocessor, memory, and support chips—i.e., those that serve to interface microprocessors with input-output devices. By the 1990s some VLSI circuits contained more than 3 million transistors on a silicon chip less than 0.3 square inch (2 square cm) in area.
The digital computers of the 1980s and ’90s employing LSI and VLSI technologies are frequently referred to as fourth-generation systems. Many of the microcomputers produced during the 1980s were equipped with a single chip on which circuits for processor, memory, and interface functions were integrated. (See also supercomputer.)
The use of personal computers grew through the 1980s and ’90s. The spread of the World Wide Web in the 1990s brought millions of users onto the Internet, the worldwide computer network, and by 2015 about three billion people, half the world’s population, had Internet access. Computers became smaller and faster and were ubiquitous in the early 21st century in smartphones and later tablet computers.




                                                    CD. WXO Fly-by-wire


Fly-by-wire (FBW) is a system that replaces the conventional manual flight controls of an aircraft with an electronic interface. The movements of flight controls are converted to electronic signals transmitted by wires (hence the fly-by-wire term), and flight control computers determine how to move the actuators at each control surface to provide the ordered response. It can use mechanical flight control backup systems (Boeing 777) or use fully fly-by-wire controls.[1]
Improved fully fly-by-wire systems interpret the pilot's control input as a desired outcome and calculates the control surface activities required to deliver that outcome; this results in different combinations of rudder, elevator, aileron, flaps and engine controls in different situations using a closed loop (feedback). The pilot may not be fully aware of all the control outputs needed to effect a command, only that the aircraft is acting as expected. The fly-by-wire computers continually act to stabilize the aircraft and adjust its flying characteristics without the pilot's input and to prevent the pilot operating outside of the aircraft's safe performance envelope  .


              
  The Airbus A320 family was the first commercial airliner to feature a full glass cockpit and digital fly-by-wire flight control system. The only analogue instruments were the RMI, brake pressure indicator, standby altimeter and artificial horizon, the latter two being replaced by a digital integrated standby instrument system in later production models.


Mechanical and hydro-mechanical flight control systems are relatively heavy and require careful routing of flight control cables through the aircraft by systems of pulleys, cranks, tension cables and hydraulic pipes. Both systems often require redundant backup to deal with failures, which increases weight. Both have limited ability to compensate for changing aerodynamic conditions. Dangerous characteristics such as stalling, spinning and pilot-induced oscillation (PIO), which depend mainly on the stability and structure of the aircraft concerned rather than the control system itself, are depending on pilot's action.
The term "fly-by-wire" implies a purely electrically signaled control system. It is used in the general sense of computer-configured controls, where a computer system is interposed between the operator and the final control actuators or surfaces. This modifies the manual inputs of the pilot in accordance with control parameters.
Side-sticks, centre sticks, or conventional flight control yokes can be used to fly FBW aircraft


                                                        Basic operation

Closed feedback loop control



Simple feedback loop
A pilot commands the flight control computer to make the aircraft perform a certain action, such as pitch the aircraft up, or roll to one side, by moving the control column or sidestick. The flight control computer then calculates what control surface movements will cause the plane to perform that action and issues those commands to the electronic controllers for each surface. The controllers at each surface receive these commands and then move actuators attached to the control surface until it has moved to where the flight control computer commanded it to. The controllers measure the position of the flight control surface with sensors such as LVDTs.[4]

Automatic stability systems

Fly-by-wire control systems allow aircraft computers to perform tasks without pilot input. Automatic stability systems operate in this way. Gyroscopes fitted with sensors are mounted in an aircraft to sense movement changes in the pitch, roll and yaw axes. Any movement (from straight and level flight for example) results in signals to the computer, which can automatically move control actuators to stabilize the aircraft.

Safety and redundancy

While traditional mechanical or hydraulic control systems usually fail gradually, the loss of all flight control computers immediately renders the aircraft uncontrollable. For this reason, most fly-by-wire systems incorporate either redundant computers (triplex, quadruplex etc.), some kind of mechanical or hydraulic backup or a combination of both. A "mixed" control system with mechanical backup feedbacks any rudder elevation directly to the pilot and therefore makes closed loop (feedback) systems senseless.
Aircraft systems may be quadruplexed (four independent channels) to prevent loss of signals in the case of failure of one or even two channels. High performance aircraft that have fly-by-wire controls (also called CCVs or Control-Configured Vehicles) may be deliberately designed to have low or even negative stability in some flight regimes – rapid-reacting CCV controls can electronically stabilize the lack of natural stability.
Pre-flight safety checks of a fly-by-wire system are often performed using built-in test equipment (BITE). A number of control movement steps can automatically performed, reducing workload of the pilot or groundcrew and speeding up flight-checks.
Some aircraft, the Panavia Tornado for example, retain a very basic hydro-mechanical backup system for limited flight control capability on losing electrical power; in the case of the Tornado this allows rudimentary control of the stabilators only for pitch and roll axis movements.

Weight saving

A FBW aircraft can be lighter than a similar design with conventional controls. This is partly due to the lower overall weight of the system components, and partly because the natural stability of the aircraft can be relaxed, slightly for a transport aircraft and more for a maneuverable fighter, which means that the stability surfaces that are part of the aircraft structure can therefore be made smaller. These include the vertical and horizontal stabilizers (fin and tailplane) that are (normally) at the rear of the fuselage. If these structures can be reduced in size, airframe weight is reduced. The advantages of FBW controls were first exploited by the military and then in the commercial airline market. The Airbus series of airliners used full-authority FBW controls beginning with their A320 series, see A320 flight control (though some limited FBW functions existed on A310).[6] Boeing followed with their 777 and later designs


Servo-electrically operated control surfaces were first tested in the 1930s on the Soviet Tupolev ANT-20. Long runs of mechanical and hydraulic connections were replaced with wires and electric servos.
The first pure electronic fly-by-wire aircraft with no mechanical or hydraulic backup was the Apollo Lunar Landing Training Vehicle (LLTV), first flown in 1968.
The first non-experimental aircraft that was designed and flown (in 1958) with a fly-by-wire flight control system was the Avro Canada CF-105 Arrow, a feat not repeated with a production aircraft until Concorde in 1969. This system also included solid-state components and system redundancy, was designed to be integrated with a computerised navigation and automatic search and track radar, was flyable from ground control with data uplink and downlink, and provided artificial feel (feedback) to the pilot.
In the UK the two seater Avro 707B was flown with a Fairey system with mechanical backup in the early to mid-60s. The programme was curtailed when the airframe ran out of flight time.
The first digital fly-by-wire fixed-wing aircraft without a mechanical backup to take to the air (in 1972) was an F-8 Crusader, which had been modified electronically by NASA of the United States as a test aircraft. This was preceded in 1964 by the LLRV which pioneered fly-by-wire flight with no mechanical backup. Control was through a digital computer with three analogue redundant channels. In the USSR the Sukhoi T-4 also flew. At about the same time in the United Kingdom a trainer variant of the British Hawker Hunter fighter was modified at the British Royal Aircraft Establishment with fly-by-wire flight controls for the right-seat pilot.

  
Avro Canada CF-105 Arrow, first non-experimental aircraft flown with a fly-by-wire control system and F-8C Crusader digital fly-by-wire testbed .

Analog systems

All "fly-by-wire" flight control systems eliminate the complexity, the fragility, and the weight of the mechanical circuit of the hydromechanical or electromechanical flight control systems—each being replaced with electronic circuits. The control mechanisms in the cockpit now operate signal transducers, which in turn generate the appropriate electronic commands. These are next processed by an electronic controller—either an analog one, or (more modernly) a digital one. Aircraft and spacecraft autopilots are now part of the electronic controller.
The hydraulic circuits are similar except that mechanical servo valves are replaced with electrically controlled servo valves, operated by the electronic controller. This is the simplest and earliest configuration of an analog fly-by-wire flight control system. In this configuration, the flight control systems must simulate "feel". The electronic controller controls electrical feel devices that provide the appropriate "feel" forces on the manual controls. This was used in Concorde, the first production fly-by-wire airliner.
In more sophisticated versions, analog computers replaced the electronic controller. The canceled 1950s Canadian supersonic interceptor, the Avro Canada CF-105 Arrow, employed this type of system. Analog computers also allowed some customization of flight control characteristics, including relaxed stability. This was exploited by the early versions of F-16, giving it impressive maneuverability.

Digital systems



The NASA F-8 Crusader with its fly-by-wire system in green and Apollo guidance computer
A digital fly-by-wire flight control system can be extended from its analog counterpart. Digital signal processing can receive and interpret input from multiple sensors simultaneously (such as the altimeters and the pitot tubes) and adjust the controls in real time. The computers sense position and force inputs from pilot controls and aircraft sensors. They then solve differential equations related to the aircraft's equations of motion to determine the appropriate command signals for the flight controls to execute the intentions of the pilot.
The programming of the digital computers enable flight envelope protection. These protections are tailored to an aircraft's handling characteristics to stay within aerodynamic and structural limitations of the aircraft. For example, the computer in flight envelope protection mode can try to prevent the aircraft from being handled dangerously by preventing pilots from exceeding preset limits on the aircraft's flight-control envelope, such as those that prevent stalls and spins, and which limit airspeeds and g forces on the airplane. Software can also be included that stabilize the flight-control inputs to avoid pilot-induced oscillations.
Since the flight-control computers continuously feedback the environment, pilot's workloads can be reduced.[18] Also, in military and naval applications, it is now possible to fly military aircraft that have relaxed stability. The primary benefit for such aircraft is more maneuverability during combat and training flights, and the so-called "carefree handling" because stalling, spinning and other undesirable performances are prevented automatically by the computers. Digital flight control systems enable inherently unstable combat aircraft, such as the Lockheed F-117 Nighthawk and the Northrop Grumman B-2 Spirit flying wing to fly in usable and safe manners


Legislation

The Federal Aviation Administration (FAA) of the United States has adopted the RTCA/DO-178C, titled "Software Considerations in Airborne Systems and Equipment Certification", as the certification standard for aviation software. Any safety-critical component in a digital fly-by-wire system including applications of the laws of aeronautics and computer operating systems will need to be certified to DO-178C Level A or B, depending on the class of aircraft, which is applicable for preventing potential catastrophic failures.
Nevertheless, the top concern for computerized, digital, fly-by-wire systems is reliability, even more so than for analog electronic control systems. This is because the digital computers that are running software are often the only control path between the pilot and aircraft's flight control surfaces. If the computer software crashes for any reason, the pilot may be unable to control an aircraft. Hence virtually all fly-by-wire flight control systems are either triply or quadruply redundant in their computers and electronics. These have three or four flight-control computers operating in parallel, and three or four separate data buses connecting them with each control surface.

Redundancy

The multiple redundant flight control computers continuously monitor each other's output. If one computer begins to give aberrant results for any reason, potentially including software or hardware failures or flawed input data, then the combined system is designed to exclude the results from that computer in deciding the appropriate actions for the flight controls. Depending on specific system details there may be the potential to reboot an aberrant flight control computer, or to reincorporate its inputs if they return to agreement. Complex logic exists to deal with multiple failures, which may prompt the system to revert to simpler back-up modes.
In addition, most of the early digital fly-by-wire aircraft also had an analog electrical, a mechanical, or a hydraulic back-up flight control system. The Space Shuttle has, in addition to its redundant set of four digital computers running its primary flight-control software, a fifth back-up computer running a separately developed, reduced-function, software flight-control system – one that can be commanded to take over in the event that a fault ever affects all of the computers in the other four. This back-up system serves to reduce the risk of total flight-control-system failure ever happening because of a general-purpose flight software fault that has escaped notice in the other four computers.

Efficiency of flight

For airliners, flight-control redundancy improves their safety, but fly-by-wire control systems, which are physically lighter and have lower maintenance demands than conventional controls also improve economy, both in terms of cost of ownership and for in-flight economy. In certain designs with limited relaxed stability in the pitch axis, for example the Boeing 777, the flight control system may allow the aircraft to fly at a more aerodynamically efficient angle of attack than a conventionally stable design. Modern airliners also commonly feature computerized Full-Authority Digital Engine Control systems (FADECs) that control their jet engines, air inlets, fuel storage and distribution system, in a similar fashion to the way that FBW controls the flight control surfaces. This allows the engine output to be continually varied for the most efficient usage possible.
The second generation Embraer E-Jet family gained a 1.5% efficiency improvement over the first generation from the fly-by-wire system, which enabled a reduction from 280 ft.² to 250 ft.² for the horizontal stabilizer on the E190/195 variants.

Airbus/Boeing

Airbus and Boeing differ in their approaches to implementing fly-by-wire systems in commercial aircraft. Since the Airbus A320, Airbus flight-envelope control systems always retain ultimate flight control when flying under normal law, and will not permit the pilots to violate aircraft performance limits unless they choose to fly under alternate law. This strategy has been continued on subsequent Airbus airliners. However, in the event of multiple failures of redundant computers, the A320 does have a mechanical back-up system for its pitch trim and its rudder, the Airbus A340 has a purely electrical (not electronic) back-up rudder control system, and beginning with the A380, all flight-control systems have back-up systems that are purely electrical through the use of a "three-axis Backup Control Module" (BCM)
Boeing airliners, such as the Boeing 777, allow the pilots to completely override the computerised flight-control system, permitting the aircraft to be flown outside of its usual flight-control envelope if they decide that it is necessary.

Applications



Airbus trialed fly-by-wire on an A300 as shown in 1986, then produced the A320

Engine digital control

The advent of FADEC (Full Authority Digital Engine Control) engines permits operation of the flight control systems and autothrottles for the engines to be fully integrated. On modern military aircraft other systems such as autostabilization, navigation, radar and weapons system are all integrated with the flight control systems. FADEC allows maximum performance to be extracted from the aircraft without fear of engine misoperation, aircraft damage or high pilot workloads.
In the civil field, the integration increases flight safety and economy. The Airbus A320 and its fly-by-wire brethren are protected from dangerous situations such as low-speed stall or overstressing by flight envelope protection. As a result, in such conditions, the flight control systems commands the engines to increase thrust without pilot intervention. In economy cruise modes, the flight control systems adjust the throttles and fuel tank selections more precisely than all but the most skillful pilots. FADEC reduces rudder drag needed to compensate for sideways flight from unbalanced engine thrust. On the A330/A340 family, fuel is transferred between the main (wing and center fuselage) tanks and a fuel tank in the horizontal stabilizer, to optimize the aircraft's center of gravity during cruise flight. The fuel management controls keep the aircraft's center of gravity accurately trimmed with fuel weight, rather than drag-inducing aerodynamic trims in the elevators.

Further developments

Fly-by-optics

Fly-by-optics is sometimes used instead of fly-by-wire because it offers a higher data transfer rate, immunity to electromagnetic interference, and lighter weight. In most cases, the cables are just changed from electrical to optical fiber cables. Sometimes it is referred to as "fly-by-light" due to its use of fiber optics. The data generated by the software and interpreted by the controller remain the same. Fly-by-light has the effect of decreasing electro-magnetic disturbances to sensors in comparison to more common fly-by-wire control systems. The Kawasaki P-1 is the first production aircraft in the world to be equipped with such a flight control system.

Power-by-wire

Having eliminated the mechanical transmission circuits in fly-by-wire flight control systems, the next step is to eliminate the bulky and heavy hydraulic circuits. The hydraulic circuit is replaced by an electrical power circuit. The power circuits power electrical or self-contained electrohydraulic actuators that are controlled by the digital flight control computers. All benefits of digital fly-by-wire are retained.
The biggest benefits are weight savings, the possibility of redundant power circuits and tighter integration between the aircraft flight control systems and its avionics systems. The absence of hydraulics greatly reduces maintenance costs. This system is used in the Lockheed Martin F-35 Lightning II and in Airbus A380 backup flight controls. The Boeing 787 and Airbus A350 also incorporate electrically powered backup flight controls which remain operational even in the event of a total loss of hydraulic power.

Fly-by-wireless

Wiring adds a considerable amount of weight to an aircraft; therefore, researchers are exploring implementing fly-by-wireless solutions. Fly-by-wireless systems are very similar to fly-by-wire systems, however, instead of using a wired protocol for the physical layer a wireless protocol is employed.
In addition to reducing weight, implementing a wireless solution has the potential to reduce costs throughout an aircraft's life cycle. For example, many key failure points associated with wire and connectors will be eliminated thus hours spent troubleshooting wires and connectors will be reduced. Furthermore, engineering costs could potentially decrease because less time would be spent on designing wiring installations, late changes in an aircraft's design would be easier to manage, etc.

Intelligent flight control system

A newer flight control system, called intelligent flight control system (IFCS), is an extension of modern digital fly-by-wire flight control systems. The aim is to intelligently compensate for aircraft damage and failure during flight, such as automatically using engine thrust and other avionics to compensate for severe failures such as loss of hydraulics, loss of rudder, loss of ailerons, loss of an engine, etc. Several demonstrations were made on a flight simulator where a Cessna-trained small-aircraft pilot successfully landed a heavily damaged full-size concept jet, without prior experience with large-body jet aircraft. This development is being spearheaded by NASA Dryden Flight Research Center. It is reported that enhancements are mostly software upgrades to existing fully computerized digital fly-by-wire flight control systems. The Dassault Falcon 7X and Embraer Legacy 500 business jets have flight computers that can partially compensate for engine-out scenarios by adjusting thrust levels and control inputs, but still require pilots to respond appropriately


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                                                      DE. WXO AUTO PILOT




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                                                        Autopilot Components


    
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 Autopilot is based on two visual feedback loops working in parallel with their own optic flow set-      point and their own degree of freedom controlled .


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     The OCTAVE autopilot consists of a feedback control system, called the optic flow regulator (bottom part) that controls the vertical lift, and hence the groundheight, so as to maintain the ventral OF, ω , constant and equal to the set-point ω set whatever the groundspeed.



The explicit control schemes presented here explain how insects may navigate on the sole basis of
optic flow (OF) cues without requiring any distance or speed measurements: how they take off and
land, follow the terrain, avoid the lateral walls in a corridor and control their forward speed
automatically. The optic flow regulator, a feedback system controlling either the lift, the forward thrust or the lateral thrust, is described. Three OF regulators account for various insect flight patterns
observed over the ground and over still water, under calm and windy conditions and in straight and
tapered corridors.
 
These control schemes were simulated experimentally and/or implemented onboard
two types of aerial robots, a micro helicopter (MH) and a hovercraft (HO), which behaved much like
insects when placed in similar environments. These robots were equipped with opto-electronic OF
sensors inspired by our electrophysiological findings on houseflies’ motion sensitive visual neurons.
The simple, parsimonious control schemes described here require no conventional avionic devices
such as range finders, groundspeed sensors or GPS receivers. They are consistent with the neural
repertoire of flying insects and meet the low avionic payload requirements of autonomous micro aerial and space vehicles .
 
 
 
                         COMPARE MANUAL PILOT AND AUTO PILOT
 
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                             Manual Verse Pilot aircraft


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                                                Hasil gambar untuk aircraft instruments and controls related to sequential mechanical control
 AUTOMATION  : 
Automation is the technology by which a process or procedure is performed with minimum human assistance. Automation  or automatic control is the use of various control systems for operating equipment such as machinery, processes in factories, boilers and heat treating ovens, switching on telephone networks, steering and stabilization of ships, aircraft and other applications and vehicles with minimal or reduced human intervention. Some processes have been completely automated.
Automation covers applications ranging from a household thermostat controlling a boiler, to a large industrial control system with tens of thousands of input measurements and output control signals. In control complexity it can range from simple on-off control to multi-variable high level algorithms.
In the simplest type of an automatic control loop, a controller compares a measured value of a process with a desired set value, and processes the resulting error signal to change some input to the process, in such a way that the process stays at its set point despite disturbances. This closed-loop control is an application of negative feedback to a system. The mathematical basis of control theory was begun in the 18th century, and advanced rapidly in the 20th.
Automation has been achieved by various means including mechanical, hydraulic, pneumatic, electrical, electronic devices and computers, usually in combination. Complicated systems, such as modern factories, airplanes and ships typically use all these combined techniques. The benefit of automation include labor savings, savings in electricity costs, savings in material costs, and improvements to quality, accuracy and precision .
automation department. It was during this time that industry was rapidly adopting feedback controllers,



Open-loop and closed-loop (feedback) control

Fundamentally, there are two types of control loop; open loop control, and closed loop feedback control.
In open loop control, the control action from the controller is independent of the "process output" (or "controlled process variable"). A good example of this is a central heating boiler controlled only by a timer, so that heat is applied for a constant time, regardless of the temperature of the building. (The control action is the switching on/off of the boiler. The process output is the building temperature).
In closed loop control, the control action from the controller is dependent on the process output. In the case of the boiler analogy this would include a thermostat to monitor the building temperature, and thereby feed back a signal to ensure the controller maintains the building at the temperature set on the thermostat. A closed loop controller therefore has a feedback loop which ensures the controller exerts a control action to give a process output the same as the "Reference input" or "set point". For this reason, closed loop controllers are also called feedback controllers.
The definition of a closed loop control system according to the British Standard Institution is 'a control system possessing monitoring feedback, the deviation signal formed as a result of this feedback being used to control the action of a final control element in such a way as to tend to reduce the deviation to zero.'
Likewise, a Feedback Control System is a system which tends to maintain a prescribed relationship of one system variable to another by comparing functions of these variables and using the difference as a means of control. The advanced type of automation that revolutionized manufacturing, aircraft, communications and other industries, is feedback control, which is usually continuous and involves taking measurements using a sensor and making calculated adjustments to keep the measured variable within a set range. The theoretical basis of closed loop automation is control theory.


A flyball governor is an early example of a feedback control system. An increase in speed would make the counterweights move outward, sliding a linkage that tended to close the valve supplying steam, and so slowing the engine.

Control actions

Discrete control (on/off)

One of the simplest types of control is on-off control. An example is the thermostat used on household appliances which either opens or closes an electrical contact. (Thermostats were originally developed as true feedback-control mechanisms rather than the on-off common household appliance thermostat.)
Sequence control, in which a programmed sequence of discrete operations is performed, often based on system logic that involves system states. An elevator control system is an example of sequence control.

PID controller



A block diagram of a PID controller in a feedback loop, r(t) is the desired process value or "set point", and y(t) is the measured process value.
A proportional–integral–derivative controller (PID controller) is a control loop feedback mechanism (controller) widely used in industrial control systems.
In a PID loop, the controller continuously calculates an error value as the difference between a desired setpoint and a measured process variable and applies a correction based on proportional, integral, and derivative terms, respectively (sometimes denoted P, I, and D) which give their name to the controller type.
The theoretical understanding and application dates from the 1920s, and they are implemented in nearly all analogue control systems; originally in mechanical controllers, and then using discrete electronics and latterly in industrial process computers.

Sequential control and logical sequence or system state control

Sequential control may be either to a fixed sequence or to a logical one that will perform different actions depending on various system states. An example of an adjustable but otherwise fixed sequence is a timer on a lawn sprinkler.
State Abstraction


This state diagram shows how UML can be used for designing a door system that can only be opened and closed
States refer to the various conditions that can occur in a use or sequence scenario of the system. An example is an elevator, which uses logic based on the system state to perform certain actions in response to its state and operator input. For example, if the operator presses the floor n button, the system will respond depending on whether the elevator is stopped or moving, going up or down, or if the door is open or closed, and other conditions.
An early development of sequential control was relay logic, by which electrical relays engage electrical contacts which either start or interrupt power to a device. Relays were first used in telegraph networks before being developed for controlling other devices, such as when starting and stopping industrial-sized electric motors or opening and closing solenoid valves. Using relays for control purposes allowed event-driven control, where actions could be triggered out of sequence, in response to external events. These were more flexible in their response than the rigid single-sequence cam timers. More complicated examples involved maintaining safe sequences for devices such as swing bridge controls, where a lock bolt needed to be disengaged before the bridge could be moved, and the lock bolt could not be released until the safety gates had already been closed.
The total number of relays, cam timers and drum sequencers can number into the hundreds or even thousands in some factories. Early programming techniques and languages were needed to make such systems manageable, one of the first being ladder logic, where diagrams of the interconnected relays resembled the rungs of a ladder. Special computers called programmable logic controllers were later designed to replace these collections of hardware with a single, more easily re-programmed unit.
In a typical hard wired motor start and stop circuit (called a control circuit) a motor is started by pushing a "Start" or "Run" button that activates a pair of electrical relays. The "lock-in" relay locks in contacts that keep the control circuit energized when the push button is released. (The start button is a normally open contact and the stop button is normally closed contact.) Another relay energizes a switch that powers the device that throws the motor starter switch (three sets of contacts for three phase industrial power) in the main power circuit. Large motors use high voltage and experience high in-rush current, making speed important in making and breaking contact. This can be dangerous for personnel and property with manual switches. The "lock in" contacts in the start circuit and the main power contacts for the motor are held engaged by their respective electromagnets until a "stop" or "off" button is pressed, which de-energizes the lock in relay.
Commonly interlocks are added to a control circuit. Suppose that the motor in the example is powering machinery that has a critical need for lubrication. In this case an interlock could be added to insure that the oil pump is running before the motor starts. Timers, limit switches and electric eyes are other common elements in control circuits.
Solenoid valves are widely used on compressed air or hydraulic fluid for powering actuators on mechanical components. While motors are used to supply continuous rotary motion, actuators are typically a better choice for intermittently creating a limited range of movement for a mechanical component, such as moving various mechanical arms, opening or closing valves, raising heavy press rolls, applying pressure to presses.

Computer control

Computers can perform both sequential control and feedback control, and typically a single computer will do both in an industrial application. Programmable logic controllers (PLCs) are a type of special purpose microprocessor that replaced many hardware components such as timers and drum sequencers used in relay logic type systems. General purpose process control computers have increasingly replaced stand alone controllers, with a single computer able to perform the operations of hundreds of controllers. Process control computers can process data from a network of PLCs, instruments and controllers in order to implement typical (such as PID) control of many individual variables or, in some cases, to implement complex control algorithms using multiple inputs and mathematical manipulations. They can also analyze data and create real time graphical displays for operators and run reports for operators, engineers and management.
Control of an automated teller machine (ATM) is an example of an interactive process in which a computer will perform a logic derived response to a user selection based on information retrieved from a networked database. The ATM process has similarities with other online transaction processes. The different logical responses are called scenarios. Such processes are typically designed with the aid of use cases and flowcharts, which guide the writing of the software code.The earliest feedback control mechanism was the water clock invented by Greek engineer Ctesibius (285–222 BC)

Industrial robotics is a sub-branch in the industrial automation that aids in various manufacturing processes. Such manufacturing processes include; machining, welding, painting, assembling and material handling to name a few. Industrial robots utilizes various mechanical, electrical as well as software systems to allow for high precision, accuracy and speed that far exceeds any human performance. The birth of industrial robot came shortly after World War II as United States saw the need for a quicker way to produce industrial and consumer goods. Servos, digital logic and solid state electronics allowed engineers to build better and faster systems and overtime these systems were improved and revised to the point where a single robot is capable of running 24 hours a day with little or no maintenance. In 1997, there were 700,000 industrial robots in use, the number has risen to 1.8M in 2017 In recent years, artificial intelligence (AI) with robotics are also used in creating an automatic labelling solution, using robotic arms as the automatic label applicator, and AI for learning and detecting the products to be labeled.


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Step into an aircraft cockpit and you will see colourful lights, state-of-the-art instruments, bright LCD displays and dual steering systems for flight control and navigation. Want to know how these systems work together to control the aircraft thousands of metres above sea level?                

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                  e- A / D for Sequence Control on Generator and motor Aircraft


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