Tuesday, 23 April 2024

🌐 Embarking on a Technological Transformation in Logistics

 🌐 Embarking on a Technological Transformation in Logistics

How QR Codes, Mobile Scanning & RFID have caused a revolution in logistics.

©Prof ARCHIE DSOUZA

              

Introduction – Barcodes, the precursor to QR Codes

The retail sector which includes the running of supermarkets and hypermarkets is a perilous business. To run their business effectively and profitably they must stock myriads of products available in hundreds of brands and package sizes to ensure that no product is ever stocked out when a customer needs it. To add to their woes, they need to sell their wares at painfully tiny markups. One of the biggest challenges that all retailers – tiny, small, medium and large – face is keeping a close track of every item that they stock. Yes, all of them. They need to ensure that their inventories are neither too large nor too small. This is critical. However, for most of the last century, almost every store however big or small had only one way to find out what was on hand. They had to shut the place down and count every item, i.e. every single can, bag, box, etc. The process only got complicated with the profusion on their shelves multiplying and the retail sector growing. This process was expensive and cumbersome. The job was usually done at least once a year but at times more often. Till bar codes came into being store managers had to base many of their decisions on hunches or crude estimates. Grocers knew they desperately needed something like this long before bar codes and scanners were invented. Barcodes are the precursors of QR codes. But what preceded them? Probably punch cards which were first developed for the 1890 U.S. Census. They seemed to offer some early hope. In 1932 a business student named Wallace Flint wrote a master’s thesis in which he envisioned a supermarket where customers would perforate cards to mark their selections. At the checkout counter, they would insert them into a reader. While this was happening machinery would be activated to bring their purchases to a designated place on conveyor belts. This would provide store managements with a record of items being purchased. The challenge facing store managements was that the card-reading equipment of the day was besides being bulky, also utterly unwieldy, and far too expensive to be cost-effective. To add to their woes, the country was in the middle of the Great Depression. Even if this wasn’t the vase, Flint’s idea would have been unrealistic for all but the most distant future. Yet, it foreshadowed and foresaw the future.

While the near-universal implementation of barcodes is quite recent, the first step in this direction came in 1948. It started with Bernard Silver, a graduate student, overhearing a conversation in the halls of Philadelphia’s Drexel Institute of Technology. The president of a food chain was pleading with one of the deans to undertake research on capturing product information automatically at checkout. While the dean turned down the request, Bob Silver mentioned the conversation to his friend Norman Joseph Woodland. The latter was a twenty-seven-year-old graduate student and teacher at Drexel, who was fascinated by the issue. He started working on it first using patterns of ink that would glow under ultraviolet light. The two men built a device to test the concept and it worked. However, they did encounter some problems ranging from ink instability to printing costs. Yet, Woodland was convinced that they had a workable idea. He encashed some stock-market earnings, quit Drexel, and moved to his grandfather’s Florida apartment to seek solutions. Several months later his hard work paid off. He came up with the linear bar code, using elements from two established technologies: movie soundtracks and Morse code.

 

See: https://drexel.edu/engineering/news-events/news/archive/2012/December/normanjosephwoodlandcoinventorofthebarcodepassesawayat91/

This is what he stated in an interview, “I just extended the dots and dashes downwards and made narrow lines and wide lines out of them.” He made use of Lee de Forest’s movie sound system from the 1920s to read the data. De Forest’s invention consisted of a printed pattern with varying degrees of transparency on the edge of the film. A light shone through it as the picture ran.  This was translated by a sensitive tube on the other side using the shifts in brightness and converting them into electric waveforms. These in turn were converted to sound by loudspeakers. Using this learning Woodland planned to adapt this system by reflecting light off the wide and narrow lines that he inked on paper. He used a similar tube to interpret the results. Woodland and Drexel together filed a patent. The wide and narrow vertical lines were replaced by concentric lines, enabling the label to be scanned from either direction. They called it the bullseye code. The patent application was filed in 1949. In 1952 Woodland and Silver designed and built their bar-code reader, a device that was the size of a desk and had to be wrapped in black oilcloth to keep out ambient light. This was still a far cry from the systems that got to be used in the retail sector but was nevertheless a great start. The two got what they wanted. They had created a device that could electronically read printed material.

The computers of the day were primitive and cumbersome to operate, besides being expensive. They could only perform simple calculations and were huge in size. The idea of installing thousands of them in supermarkets across the country was just not realistic. An inexpensive and convenient way to record data had to be designed. Without this, their idea would be but a curiosity. To add to the situation there were in, was the existence of a five-hundred-watt bulb. This meant high consumption of energy and a very inefficient system. Besides this, it was enormous and ugly with the danger of causing eye damage. What they needed was a source that could focus a large amount of light into a tiny space, a laser. However, in 1952 the laser wasn’t invented. So, was, the bar code a technology whose time had not yet come? The duo though sensed the potential and were persistent. They were granted their patent in October 1952. Woodland, who was an employee with IBM was able to persuade the company to hire a consultant to evaluate bar codes. The consultant saw the potential but said they would require technology that wasn’t nonexistent and would take at least five years to come into being. By now, the patent was halfway through its life. The duo in 1962 sold the patent to Philco who, in turn, sold it to RCA. In 1971 RCA was able to jolt not just the retail sector but several industries with the barcode. By then, came several advances in information technology in freight handling many of them pioneered by the US rail industry. Freight wagons, wherever they are positioned initially become nomads. They wander all across the length and breadth of the country and often abroad as well. Where multiple railway companies exist, they may be lent to another company. Keeping track of them is therefore a challenge, possibly one of the most complex tasks the industry faces. In the early 1960s, before the ocean-going container was invented, it attracted the attention of David J. Collins, an MIT master's graduate. He immediately went to work for the Sylvania Corporation, which was trying to find military applications for a computer it had built.

At that time the railroads, as railways are called in the United States, needed a way to identify cars automatically and then to handle the information gathered. While Sylvania’s computer could do the latter, Collins needed a means to retrieve the former. The obvious approach was some sort of coded label. This seemed to be the easiest and cheapest option. The labels Collins experimented with, however, were not bar codes. They used groups of orange and blue stripes made of reflective material, which were arranged to represent the digits 0 to 9. Each car was given a four-digit number to identify the railroad that owned it and a six-digit number to identify the car itself. Readers would flash a beam of coloured light onto the codes and interpret the reflections. The first test of the system was conducted in 1961 and by 1967 a nationwide standard for a coding system was adopted. All that remained was for railroad companies to buy and install the equipment.

Collins, in the meantime, foresaw applications for automatic coding far beyond the railroads. In 1967 he pitched the idea to his bosses at Sylvania.

He suggested a” little black-and-white-line equivalent for conveyor control and for everything else that moves.” However, the company refused to fund him. So, Collins quit and cofounded Computer Identics Corporation. In the meanwhile, carriers started installing scanners in 1970, and the system worked as expected, but was still too expensive, despite the fact that computers had become a lot smaller, faster, and cheaper. They still cost too much to be economical in the quantities required. Yet, Computer Identics prospered. Its system used lasers, which in the late 1960s were just becoming affordable. A milliwatt helium-neon laser beam could easily match the job done by Woodland’s unwieldy five-hundred-watt bulb. A thin stripe moving over a bar code would be absorbed by the black stripes and reflected by the white ones, giving scanner sensors a clear on/off signal. Lasers could read bar codes anywhere from three inches to several feet away, and they could sweep back and forth like a searchlight hundreds of times a second, giving the reader many looks at a single code from many different angles. That would prove to be a great help in deciphering scratched or torn labels.

Computer Identics quietly installed its first two systems in 1969. This probably is the first true barcode system anywhere. General Motors and the General Trading Company were the two first buyers. The barcodes at that were very simple, bearing only two digits’ worth of information, which was all that was needed then. It however proved their efficacy and potential. From manufacturing settings, it moved to the grocery industry. This was the sector that provided the needed impetus to push the technology forward. By the early 1970s, the industry was able to propel itself to full commercial maturity. The technology that Woodland and Silver had invented and Computer Identics made and sold proved feasible.

RCA attended a 1966 grocery-industry meeting where bar-code development had been urged, and they took off. At one of their laboratories in Princeton, New Jersey, the Kroger grocery chain volunteered to be a guinea pig. In the mid-1970s, an industry consortium established an ad hoc committee to look into bar codes. Guidelines were set for bar-code development. They also created a symbol-selection subcommittee to help standardize the approach. Many consider this industry’s Manhattan Project. [see: https://www.energy.gov/manhattan-project] Alan Haberman who headed the subcommittee as president of First National Stores said that they showed that it could be done on a massive scale. That cooperation without antitrust implications was possible for the common good, and that business didn’t need the government to shove it in the right direction. What barcodes did was to make life easier for the cashier, not harder. To achieve this bar codes would need to be readable from almost any angle and at a distance as well. Mass production would make the labels cheap and easy to print. To be affordable, automated checkout systems would have to pay for themselves as fast as possible.

For more on the history of barcodes read” https://bar-code.com/upc/bar-code-history/  & https://www.theinventors.org/library/inventors/blbar_code.htm. Also available is a 1970 study by McKinsey & Company. These studies have shown that the introduction of barcodes has saved the retail industry over USD 150 million a year.

Today, in the realm of logistics and supply chain management, QR codes represent a significant leap from traditional barcodes. This has heralded a new era of information exchange and accessibility. These advanced codes, coupled with the ubiquity of smartphones and tablets, have fundamentally transformed how we approach tasks such as inventory management, shipment tracking, and package sorting. Let’s look at their working and how they’ve transformed logistics.

QR Codes & their Role in Transforming Logistics

QR codes (quick-response code), invented in 1994, by Japanese company Denso Wave for labelling automobile parts can be describes as of two-dimensional matrix barcodes. A typical QR code consists of black squares arranged in a square grid on a white background. Included in it are some features called fiducial markers, which can be read by an imaging device, such as a camera. The image once read is processed using what’s termed as Reed-Solomon error correction. [see: https://www.cs.cmu.edu/~guyb/realworld/reedsolomon/reed_solomon_codes.html ] This enables the image to be appropriately interpreted. The required data are then extracted from patterns that are present in both the horizontal and the vertical components of the QR image.

How do QR codes differ from barcodes? Barcodes are machine-readable optical images that contain information specific to the labeled item. QR codes, on the other hand, contain data for a locator, an identifier, and for web-tracking. QR codes use four standardized modes of encoding to efficiently and effectively store data. These are:

1.      Numeric

2.      Alphanumeric

3.      Byte or binary, and

4.      Kanji, i.e., Chinese characters

Compared to standard universal product codes and barcodes, the applications of the QR labeling system are much more far-reaching. It has gone beyond the automobile industry. Faster reading of the optical image and greater data-storage capacity are the reasons. They’ve helped a great deal in applications such as product tracking, item identification, time tracking, document management, and general marketing. As we’ve seen, QR codes have been a part of logistics since their creation in 1994. Like barcodes, since their inception, they have mainly fulfilled two functions in warehouses, one, to help operators take inventory more quickly and to provide full traceability. [Do read: The importance of traceability in logistics - Mecalux.com] They monitor of all the products across the various processes they go through along the supply chain. They do it fast and are very accurate. The consulting firm Future Marketing Insights states that the global QR code market was valued at $996.8 million in 2018 and is expected to increase annually by 8.7% up to 2027. They’ve had a great impact on the supply chains. We shall continue exploring how they’re used. We’ll also be discussing their characteristics and advantages. [see: https://www.mecalux.com/blog/qr-codes-logistics]

So, what are QR codes?

[see: Item coding in the warehouse - Mecalux.com] So, to define the term, QR or Quick Response codes refer to an item coding system created to be read extremely quickly, at lightning speed. QR codes store different types of information: numeric codes, text, webpage links, and even small binary files, with a 3 KB limit. [also see: History of QR Code | QRcode.com | DENSO WAVE ] Denso Wave is a Japanese company, a subsidiary of the Toyota Group. Engineers here developed QR codes so they could overcome the limitations of barcodes. These shortcomings included having operators in their plant to scan many barcodes and identify a large number of SKUs. This required time and effort. Also, products in varying sizes and with multiple characteristics were being manufactured in their plants. They therefore needed smaller codes that adapted to different sizes of their products. What’s more, with products of varying sizes and characteristics, they needed smaller codes that adapted to the different sizes of the goods. The company’s objective was to make inventory management with barcodes as flexible as possible, at the same time, be able to read the codes at a very high speed. This was achieved through the design of the QR codes. Sizes of QR codes start from as tiny as 0.9 x 0.9 cm.

How QR Codes Work: QR labels consist of quadrangular codes containing small black and white squares, called modules, like shown here:

 

 

They can be termed as advanced forms of traditional barcodes, capable of storing more comprehensive information. They are scanned using smartphones or specialized barcode-scanning devices. Once scanned the information is stored and access to the stored data can be retrieved instantly. The code’s black and white squares are then decoded into binary language in a computer-friendly format. The data can then be linked to various other actions like opening a webpage or revealing inventory details in the supply chain. The Information retrieved from barcodes is not sufficient to manage complex inventories. QR codes provide real-time data necessary for effective decision-making processes.

What’s more, they allow quick retrieval of product information and updates on stock movement. This is done at high speeds. Through swift scans and decoding procedures, they serve as gateways to extensive traceability and visibility within the supply chain framework. However, they have their limitations which have been dealt with as well with the introduction of RFID labels. We’ll deal with these at a later stage. Before that let’s see where QR codes have helped in certain areas. These areas are inventory management, shipment tracking, and sorting & routing. Let’s look at each of these:

Inventory Management helps companies identify what stock they hold and how much. Based on this they can know what to order and when. Inventory is tracked from purchase to the sale of individual items. Proper inventory managers can identify and respond to trends to ensure there’s always enough stock to fulfill customer orders and a proper advance warning of a shortage. A critical component in just-in-time inventory systems forecasting and ensuring that products never get stocked out. This is where accuracy and promptness are crucial. Integrating automated scanning devices ensures that those in charge of procurement and distribution – two very important components in supply chain management – are able to accurately predict requirements and demand. Precise inventory records and real-time updates, supported by QR Codes have enhanced this ability.

 

The importance of Shipment tracking & tracing can never be underestimated. The introduction of scannable codes offers live updates throughout the supply chain thus revolutionized shipment tracking. Transparency and accountability for both logistics providers and their clients is thereby increased. This innovation has significantly boosted the efficiency and reliability of delivery services.

Sorting and routing have been streamlined by leveraging barcodes and QR codes. Most distribution centres have automated sorting systems that direct packages more effectively and at a very high speed. So, the sorting process is accelerated by quickly identifying the destination of each package. This improves the speed and reliability of package routing operations.

As we’ve stated, these technological advancements have led to great advancement in the logistics sector, one that has stood for and been at the forefront of efficiency and innovation. While barcodes revolutionized most segments in logistics, especially inventory management, QR codes took them to a much higher level. However, we now have a technology that has surpassed even the latter.

Radio Frequency Identification (RFID) Labels & Tags

An RFID label or tag, in a language to make the layperson understand, is a label with a transmitter that sends radio signals from a package enabling a person with access to be able to know its location in real time. Radio frequency identification can thus be termed as a form of wireless communication that incorporates the use of electromagnetic or electrostatic coupling in the radio frequency portion of the electromagnetic spectrum to uniquely identify an object, animal or person. [see: https://www.techtarget.com/iotagenda/definition/RFID-radio-frequency-identification]  

The Working of RFID Tags & Labels

An RFID system consists of three components: one; a scanning antenna, two; a transceiver, and three; a transponder. Combining the scanning antenna and transceiver gives what is referred to as an RFID reader or interrogator. RFID readers are of two types – fixed and mobile readers, in other words, attached or portable. It is a network-connected device that uses radio waves to transmit signals that activate the tag. Once activated, the tag sends a wave back to the antenna, where it is translated into data.

        

The transponder is in the RFID tag itself. The read range for RFID tags varies based on factors including the type of tag, type of reader, RFID frequency and interference in the surrounding environment or from other RFID tags and readers. Tags that have a stronger power source also have a longer read range.

RFID Tags and Composition & Types

An RFID tag is made of an integrated circuit (IC), an antenna, and a substrate. An inlay is the part of the RFID tag that encodes identifying information.

RFID tags are of two main types, active and passive. An active RFID tag has its own power source, often a battery while a passive RFID tag receives its power from the reading antenna, whose electromagnetic wave induces a current in the RFID tag's antenna. Semi-passive RFID tags also exist. In them, a battery runs the circuitry while communication is powered by the RFID reader.

In every RFID system low-power, embedded non-volatile memory plays a very important role. An RFID tag typically holds less than 2,000 KB of data. This includes a unique identifier/serial number. Tags may be read-only or read-write and data can be added by the reader or existing data overwritten. Several factors affect the read range for RFID tags. Variations are based on the type of tag, type of reader, RFID frequency, and interference in the surrounding environment, even from other RFID tags and readers. Active RFID tags have a longer read range compared to passive RFID tags as their power source is stronger. Smart labels are simple RFID tags that have an RFID tag embedded into an adhesive label and feature a barcode. They can be used by both RFID and barcode readers. Smart labels can be printed on-demand using desktop printers. RFID tags require more advanced equipment.

Types of RFID Systems: RFID systems come in three main categories, low frequency (LF), high frequency (HF), and ultra-high frequency (UHF). Also available is microwave RFID. Frequencies vary greatly by country and region. Logisticians ought to know what is available in their own as well as customers’ and vendors’ locations. RFID systems range from 30 KHz to 500 KHz. However, typically the frequency is 125 KHz. LF RFID has short transmission ranges – anywhere from a few inches to less than six feet. High-frequency RFID systems range from 3 MHz to 30 MHz, with the typical HF frequency being 13.56 MHz. The standard range is anywhere from a few inches to several feet. UHF RFID systems range from 300 MHz to 960 MHz, with the typical frequency of 433 MHz and can generally be read from 25-plus feet away. Microwave RFID systems run at 2.45 GHz and can be read from 30-plus feet away. The frequency used will depend on the RFID application, with actual obtained distances sometimes varying from what is expected.

Here are some common uses for RFID applications:

·        pet and livestock tracking

·        inventory management and control

·        asset and equipment tracking

·        vehicle tracking

·        customer service and loss control

·        improved visibility and distribution in the supply chain

·        access control in security situations

·        shipping

RFID versus Barcodes

Using RFID as an alternative to barcodes is increasing in use and will replace them in the not-too-distant future. Here are some important differences between them:

RFID

Barcodes

RFID labels/tags can identify individual objects that are out of direct line of sight.

Barcode scanning can only be done when the line of sight is direct.

Items can be traced and identified from a few centimetres away to remote locations.

Close proximity is always required for scanning.

Data can be updated in real time.

Data is read-only and can't be changed.

Require a power source.

No power source is needed.

Read time is less than 100 milliseconds per tag.

Read time is half a second or more per tag.

Contains a sensor attached to an antenna, often contained in a plastic cover, and more costly than barcodes.

Printed on the outside of an object and more subject to wear.

 

 

 

RFID security and privacy

Security and privacy have been major concerns that logisticians and other potential users have voiced. Among the common concerns is that RFID tag data can be read by anyone with a compatible reader. Tags can often be read much after an item leaves a store or supply chain. They can also be read without a user's knowledge using unauthorized readers, and if a tag has a unique serial number, it can be associated to a consumer. While a privacy concern for individuals, in military or medical settings this can be a national security concern or life-or-death matter. One of the features of RFID tags is that they do not have a lot of computing power. Therefore, they are unable to accommodate encryption. This can pose as a challenge in their use. One exception to this, however, is specific to RFID tags used in passports -- basic access control (BAC). Here, the chip has sufficient computing power to decode an encrypted token from the reader, thus proving the validity of the reader.

RFID Use in the Future

As trade volumes grow and customer demands rise, RFID systems will increase is usage. The future will see an increased use of the Internet of things. [do read this: What is IoT (Internet of Things) and How Does it Work? | Definition from TechTarget] Combining IoT with smart sensors and/or GPS [What is Global Positioning System (GPS)? Definition from SearchMobileComputing (techtarget.com)] will enable sensor data including temperature, movement, and location to be transmitted with ease. So, RFID tags, reader, and antenna setup will be combined with powerful IoT edge computing in the reader to process the data. [see: https://www.ibm.com/topics/edge-computing]. Changes can already be seen. Users will engage with the solution on the edge level using a touch screen or other human input device. This edge-processed data will be stored in the cloud. Edge computing will be dealt with in detail later. We state right now that it enforces the rules set in ERP. In turn, the user interface will be used to control the process and acquire data downstream. RFID solutions will provide actionable information that can be utilized at the shop floor level. Additionally, standard RFID readers, purpose-built or use case-driven readers will be more utilized in solutions.

In the not-too-distant future, edge computing [see: https://www.ibm.com/topics/edge-computing]   and integrations with other systems will allow RFID solutions to take a greater role in business operations and decision-making. In the future, we’ll definitely see a huge role for RFID. It will be seen as a source for more comprehensive data management. RFID will identify the items in conjunction with adjacent technologies providing information on the environment, condition, location, movement, status, and much more. The future also sees RFID more as an integral part of daily operations. Many decisions will be made based on findings from data obtained through RFID and adjacent technologies mentioned. RFID solutions will provide meaningful input for tactical decision-making at the grassroots. Data will be available there. Powerful edge computing will result in many new uses for RFID. Data will be processed on-site, giving users valuable information on a real-time basis.

 

 

Saturday, 22 April 2023

Digital Twins in Supply Chains ~ how do we use them and unlock their potential

Digital Twins in Supply Chains ~ how do we use them and unlock their potential

A brief guide for companies to optimize their supply chain functions by unlocking the potential of digital twins

Prof Archie D’Souza

(Source: Google)

Since the start of this millennium myriad industries have started adopting digital twin technology. It’s a revolutionary technology that has become more accessible and affordable. Still, it remains underutilized in supply chains, way below the potential it has. Why does this happen? The main reason has been attributed to the complex nature of supply chains. However, according to me, the reason is the reluctance of logistics players to adopt it. Misunderstandings about the technology’s applications, capabilities, and potential value has been a common excuse. This may be partially true. What prevents the players from getting experts and starting its adoption on a pilot basis? I feel that immense benefits across a wide range of supply chains can be delivered with a proper adoption and implementation strategy.

Let’s, to begin with, look at what digital twins are. A digital twin is a digital representation of a physical object, process, service, or environment that behaves and looks like its counterpart in the real-world. [source: https://www.twi-global.com/technical-knowledge/faqs/what-is-digital-twin], e.g., a digital replica of an object in the physical world, such as a missile, jet engine, or computer chip. Items could be tiny or exceptionally large, and could include buildings, manufacturing plants, townships, or even entire cities. Digital twin technology can also be used to replicate processes in order to collect data to predict how they will perform. So, in essence, a digital twin is a computer programme that uses real world data to create simulations that can predict how a product or process will perform. The beauty about these programmes is their ability to integrate IoT, artificial intelligence and software analytics to enhance the output.

These virtual models have turned out to be a staple in modern engineering to drive innovation and improve performance. For this we need to thank the advancement of machine learning and factors such as big data. Creating such a model can allow the enhancement of strategic technology trends, besides preventing costly failures in physical objects; additionally, by using advanced analytical, monitoring, and predictive capabilities, test processes and services. The prospects are numerous.

Digital Twins – Distinguishing Characteristics

Digital twins, as we’ve seen, are virtual replicas of physical entities and their interactions. They consist of a combination of enabling technologies and analytics capabilities. However, very often the technology is misunderstood. It is assumed by many that digital twins are themselves sensors, 3D models, simulators, or applications of AI technology. This assumption is erroneous. Also, some mistakenly consider digital twins to be largely theoretical and hence, not relevant for supply chain management. It is also often assumed that a digital twin can be built only after the physical twin has been created. None of these assumptions is true.

As stated, digital twins are a combination of multiple enabling technologies, e.g., sensors, cloud computing, AI & advanced analytics, simulation, visualization, and augmented & virtual reality, to name some of them. A customised mix of technologies is used depending on the individual user’s needs and expectations. One of the most distinguishing features of digital twins is their ability to emulate human capabilities, support critical decision-making, and even make decisions on behalf of humans, a feature that makes them so powerful. Digital twins observe their physical environment through a network of sensors that dynamically gather real-time data. By learning from this information, they evolve, and it isn’t just the information but also the contexts. They keep interacting with humans, devices, and other networked digital twins. These capabilities make them active social tools, it enables them to continuously communicate and collaborate with their associated physical and digital objects and also with humans. The technology supports end-to-end visibility and traceability, so essential in supply chains. Thus, supply chain practitioners can spot patterns of overly complex and dynamic behaviour.

Another feature of digital twins is their ability to build nonlinear supply chain models by overseeing many internal and external moving parts in end-to-end supply chains. They can thus compute thousands of what-if scenarios. The technology learns from these decisions and gains in maturity over time. Managers thus can make faster, more accurate, and better-informed decisions. This obviously has a long-term impact with the added bonus of considerably lower costs.

Digital Twins – their Working  

Digital twin are virtual models designed to accurately reflect physical objects. To cite an example, a jet engine is various sensors related to vital areas of functionality are fitted to it. The fitted sensors produce data about different aspects of performance of the physical object, such as energy output, temperature, weather conditions and more. This data is then relayed to a processing system and applied to the digital copy. Once the data is obtained, simulations can be run using the virtual model. Not just that, it’s even possible to study performance issues, and come up with improvements. Once these valuable insights are obtained, they can be applied back to the original physical object.

Differences between digital twins & simulations: Are simulations and digital twins the same? Or are they different? Let’s examine. Both utilize digital models to replicate a system’s processes. A digital twin being a virtual environment, is far richer for study. So, what’s the difference? It is largely a matter of scale. Simulations typically study a particular process. A digital twin, on the other hand, can itself run several useful simulations to study multiple processes. That’s not all. Does one see simulations benefiting from having real-time data? No! The beauty of digital twins is that they are designed around a two-way flow of information. A flow that first occurs when object sensors provide relevant data to the system processor. It happens again when insights created by the processor are shared back with the original source object. Digital twins can study more issues from far more vantage points than standard simulations can perform many tasks. They do this by having better and constantly updated data related to a wide range of areas. This, combined with the added computing power that accompanies a virtual environment, gives is greater ultimate potential to improve products and processes.

Types of digital twins: Digital twins are of different types depending on the level of product magnification. The area of application is the biggest difference between these twins. It isn’t uncommon to see different types of digital twins co-existing within a system or process. Let’s look at some of these types. This will enable us to learn the differences and how they are applied.

1.      Component twins may be looked at as the basic unit of digital twin. They are the smallest example of a functioning component.

2.      Parts twins pertain to components of slightly less importance. But for that they are the same as component twins.

3.      Asset twins: Two or more components work together form what is termed as an asset. Asset twins let a person study the interaction of those components. In the process, they create a wealth of performance data that one can process and then turn into actionable insights.

4.      System or Unit twins are the next level of magnification. They enable one to see how different assets come together to form an entire functioning system. These twins provide visibility regarding the interaction of assets. Therefore, they may suggest performance enhancements.

5.      Process twins, the macro level of magnification, reveal how systems work together to create an entire production facility. They enable a person to judge whether those systems all synchronized to operate at peak efficiency, or whether delays in one system will affect others. With process twins one can help arrive at the precise timing schemes that ultimately influence overall effectiveness.

Digital Twin Technology – a brief history

American computer scientist David Gelernter was the first person to come up with the idea of digital twin technology. He did so in 1991, in a book he authored Mirror Worlds. However, the person who first applied it in manufacturing was Dr Michael Grieves, a faculty member at the University of Michigan.  He did so in 2002, formally announcing the digital twin software concept. Eventually, NASA’s John Vickers introduced a new term digital twin in 2010.

The term may have been conceived as late as in 2010, however, the core idea of using a digital twin as a means of studying a physical object dates back several decades before that. One can rightfully credit NASA with pioneering the use of digital twin technology during its space exploration missions of the 1960s. At that time, each voyaging spacecraft was exactly replicated in an earthbound version that was used for study and simulation purposes by NASA personnel serving on flight crews.

Digital Twins - advantages & benefits

Nancy White, a content marketing strategist for the Corporate Brand team at PTC has written a very interesting article entitled Top 8 Digital Twin Benefits.                         [see: https://www.ptc.com/en/blogs/corporate/digital-twin-benefits ]. Some of the points she makes are listed out below.

Better R&D: It’s use enables more effective research, especially if it involves designing new products. This is because an abundant amount of data is created, about likely performance outcomes. The information created leads to insights that help companies make needed product refinements even before starting production.

Greater efficiency: Digital twins can help mirror and monitor production systems even after a new product has gone into production. It’s done with an eye to achieving and maintaining peak efficiency throughout the entire manufacturing process.

Product end-of-life: Manufacturers can decide what to do with products that reach the end of their product lifecycle and need to receive final processing, with the help of digital twins. This is done through recycling and/or other measures. Digital twins help in determining which product materials can be harvested.

Digital Twins in Supply Chains

Before we look at the working of digital twins in supply chains, let’s look at how they work in manufacturing. Digital twins do offer a great deal. Some of their features are prized. However, their use may not be warranted for every manufacturer or every product created. We’ll see why. Not all objects are so complex as to require the intense and regular flow of sensor data that are a must for digital twins. Also, it may not always be financially feasible. A great deal of resources is required to create them. As a digital twin is an exact replica of a physical object,  its creation is expensive.

According to anyLogistiz.com a Supply Chain Digital Twin is a detailed simulation model of an actual supply chain which uses real-time data and snapshots to forecast supply chain dynamics. From this, analysts can understand a supply chain’s behaviour, predict abnormal situations, and work out an action plan. [see: https://www.anylogistix.com/features/supply-chain-digital-twins/ ]

A supply chain digital twin can be used for:

·    Understanding supply chain dynamics and behaviour

·    Bottleneck discovery

·    Testing supply chain design changes and development

·    Monitoring risk and testing contingencies

·    Transportation planning

·    Inventory optimization

·    Cash to serve and cost to serve analysis

·    Forecasting and testing operations over the coming days and weeks

By clicking on the link above you will get access to a white paper which investigates how digital twins and control towers are resolving challenges in the supply chain. Read the white paper and estimate the value digital supply chain twins can offer your business!

https://www.mckinsey.com/capabilities/quantumblack/our-insights/digital-twins-the-key-to-unlocking-end-to-end-supply-chain-growth  

[To be concluded]

[The subject is wide and cannot be covered in such a short space. Please read Part Two (to be published soon) for more]