16 Smart And Effective Uses For Digital Twin Technology

A digital twin is precisely what its name suggests: A digital copy of a physical object or system—even a human being. It may be a simple concept, but the potential applications are anything but. Through the ongoing collection and exchange of data, a digital twin can simulate and even predict the behaviors and reactions of its physical twin in a variety of conditions, providing invaluable insights to industries ranging from manufacturing to healthcare.

Digital twin technology allows businesses and organizations to test products and processes, study and predict how real-world conditions can affect physical objects and beings, and make well-informed, big-impact decisions with minimized financial and human safety risks. Below, 16 members of Forbes Technology Council share some of the fascinating ways industries and organizations are leveraging digital twin technology.

1. Minimizing Manufacturing Waste

We at Cuby use digital twin technology to make sure we produce 1-to-1 kits of the parts needed in our prefab construction process. It’s been estimated that up to 40% of the solid waste in the U.S. is construction and demolition waste. Manufacturing all the parts in advance allows us to reduce waste by up to 90%. – Aleksandr Gampel, Cuby Technologies, Inc.

2. Building Resilient Supply Chains

Businesses are increasingly using digital twin technology to build resilient and responsive supply chains. The digitization of supply chain processes provides businesses the opportunity to increase organizational efficiency by predicting serious problems and deceleration. In fact, it is estimated that by 2025, 80% of participants in industry ecosystems will rely on digital twin technology. – Radhika Krishnan, Hitachi Vantara

3. Mitigating Disruptions Due To Weather And Climate

Businesses are using digital twin technology to mitigate climate-related disruption. By combining data from public sources, such as weather data, with data from suppliers and partners, leaders can see how an unplanned weather event might impact the flow of goods across their supply chain, then use this insight to quickly pivot orders, routes or suppliers to limit waste and meet demand. – Rohit Shrivastava, Anaplan

4. Studying And Refining Processes

Process mining combined with simulation gives reliable visibility into as-executed processes (versus relying on what somebody thinks is happening) and the ability to do “what-if” analyses. This is effective because it allows one to see what’s really happening and simulate changes before making them. Often, changes do nothing or create a bigger problem elsewhere. Simulation and mining prevent that. – Michael Nyman, iGrafx

5. Making Data-Driven Manufacturing Decisions

The utilization of digital twins in the manufacturing industry has seen large growth. Digital twins increase productivity and reduce costs by combining the physical and digital worlds to make data-driven decisions, prolong asset life cycles and minimize unexpected maintenance disruption across assets. This modernizes the sector by moving from the “break and fix” approach to proactive maintenance. – Cindy Jaudon, IFS

6. Testing Health Intervention And Engagement Strategies

Health outcomes improve when patients are confident, connected and engaged. Digital twin technologies provide healthcare organizations the option to test drive new interventions and engagement strategies. This lowers the risks of rolling out new programs by testing hypotheses through a simulated pilot while also enabling cost-conscious innovation. – Trisha Swift, PricewaterhouseCoopers

7. Improving Patient Outcomes

A digital twin enables accurate and continuous monitoring. That data flow can inform data-driven decisions. For example, doctors are using an individual’s genetic makeup to model new organs for transplant. Because these processes can leverage a populationwide data set of digital twins, they can replicate an individual human body’s internal system to improve treatment outcomes for all. – Nicholas Domnisch, EES Health

8. Expanding Professional Services Capabilities

Knowledge-rich professional services firms are building digital twins of accountants, advisors and auditors using graph-based intelligent automation. These are distinct from previous technologies, because the decisions these professionals make are complex, contextual and nonlinear. In a world where there are big skills shortages and raging inflation, this form of IA is closing the gap. – James Duez, Rainbird Technologies

9. Onboarding And Knowledge Sharing

A digital twin use case that is an easy entry point and can provide quick ROI is training or onboarding. In areas where experienced employees are preparing for retirement, where there is high turnover or where there are general labor shortages, having a prerecorded “virtual” expert that can walk you through the instructions in real time can be a game changer and is much more effective than a giant paper manual. – Samantha Williams, Sonoco

10. Providing Safe Training

Today, manufacturing organizations are leveraging digital twin technologies to replicate machinery that would typically put employees in harm’s way. Here, a virtualized version of the original piece of machinery can be used to give employees training experience with the virtual machinery without also putting the employee’s health and safety in peril. – Marc Fischer, Dogtown Media LLC

11. Understanding Multidimensional Problems

Digital twin technology shines the brightest when it helps companies better understand a multidimensional problem—one that is too complex to easily solve. Because it is a way to visualize and make better decisions, the technology has become extremely effective for everything from product design to diagnosing medical issues to better understanding variables that affect business expenses. – Josh Dunham, Reveel

12. Improving Manufacturing Efficiencies

A very interesting field of application is manufacturing. Thanks to a digital twin of a production plant, with all its different lines and machines, we can launch simulations to generate greater efficiency or to detect potential bottlenecks. Simulating the manufacture of new products or variants of existing products is also a very useful application. – Miguel Llorca, Torrent Group

13. Developing And Training Self-Driving Vehicles

Without digital twin technology, it would be impossible to develop self-driving vehicles at the scale and with the reliability we are witnessing nowadays. Billions of simulations on a “virtual road” by a “virtual car” allow for training machine learning models to forecast accidents and plan not just the fastest, but also the safest, routes so that drivers can entrust the actual driving to robots. – Aleks Farseev, SoMin.ai

14. Budgeting And Financial Planning

Financial and operational data is the lifeblood of a company, but it’s difficult to “see all of it” and understand it in real time. Digital twins offer real-time, big-data-enabled simulation modeling that can be particularly useful for budget and financial planning. The technology can streamline tasks such as procurement, case management and capital resiliency and deliver powerful insights for finance leaders. – Nicola Morini Bianzino, EY

15. Managing Traffic

Digital twins are already effectively used by urban planning councils in many U.S. cities for efficient traffic management. They help in simulating real-world congestion at junctions, predicting what may get worse when and where, and they can be used to test multiple mitigation techniques by leveraging the best mix of ML and city know-how. Dashcam-backed digital twins are explored alongside junction twins. – Pramod Konandur Prabhakar, Pelatro PLC

16. Simulating Real-World Conditions

One way businesses are leveraging digital twin technology is by using it to simulate the physical world. For example, a company can use a digital twin to simulate a real-life situation so that they can predict how their product or service will behave in that environment. Another way is by using it to understand how their customers use their services and products. – Leon Gordon, Pomerol Partners

Successful CIOs, CTOs & executives from Forbes Technology Council offer firsthand insights on tech & business.

Source: Council Post: 16 Smart And Effective Uses For Digital Twin Technology

Critics By Carlos Miskinis Digital twin research expert

To explain what Digital Twin means in simple words, it is a digital replica or a representation of a physical object (e.g. aircraft engine, person, vehicle) or an intangible system (e.g. marketing funnel, fulfillment process) that can be examined, altered and tested without interacting with it in the real world and avoiding negative consequences.

Think of it as an online platform for testing, creating and altering objects that are based in reality, without engaging with them in the real world itself. Technologies similar to this one have been used in various industries long before this concept was created, however, this new definition of the technology has much more potential, power, and scalability that can replicate, monitor and test virtually anything you can think of.

The rise of the Internet of Things (IoT) has complimented the adoption of this new technology, as IoT has resulted in its cost-effective implementation. Virtual twins have become imperative to business today, consistently named as a strategic technology trend in recent years. The complexity of technology has led to many questions within the industry. One of the most important ones is how is it changing the way design, planning, manufacturing, operation, simulation, and forecasting is traditionally functioning?

A physical twin that was replicated on a virtual platform is a near real-time digitized copy of a physical object. It is a bridge between the digital world and the physical world. Its core use is to optimize business performance, through the analysis of data and the monitoring of systems to prevent issues before they occur and prevent downtime. The simulations that are produced will help to develop and plan future opportunities and updates within the process or product.

 The benefits of virtual twin technology are astronomical, with industries such as agriculture, government, transportation and retail experiencing rewards from the technology and benefits going forward. Companies must find methods to prevent the risk of potential product defects among their assets and future products. This piece of tech allows production costs to be minimized, as companies will save expenses when products are right the first time.

There is no need for expensive physical tests or updates to the products or process. Research with manufacturers has found that this concept will enable the reduction of development costs of the next generation of machines by well over 50%. The features of the tech also provide added confidence to boost product performance and aid complex decisions, preventing costly downtime to robotics and machinery.

The core benefit of why most companies started twinning their processes, products, and services via simulations is due to their efficiency. Businesses are racing to market their product faster than their competition, and having the ability to virtually simulate scenarios where a product is tested for failure via multiple angles helps the situation immensely. Not mentioning the fact that the development and testing costs are usually reduced hundreds of times.

This technology will be able to anticipate how the product and process will perform through digital simulations and analysis. The accessibility of reliable and consistently updated information provides the assurance needed to make faster decisions and increase the speed of production to overtake competitors. Here is a use case infographic we have presented in our workshop about understanding virtual twins – find event information here.

We can see how a virtual twin simulation is used to replicate and optimize machinery that regulates water flow in a factory. By doing this, developers can see every moving detail on the screen and then make the calculated decision to upgrade, optimize or make positive changes accordingly. Offices that adopt this technology early will attract innovative and leading talent. Offices will be able to incorporate interactive features to improve employee satisfaction and productivity using data-driven simulations.

Employees who will use digital twin technology will be able to expand their engagement with online tools, such as interactive maps to locate colleagues on the floor, book meetings and complete tasks with more diligence and accuracyManagers will also be able to supervise remotely with the tool that will be similar to a 3D map that will be created using virtual online platforms that are based on simulations.

 It is evident that the digital twin concept will benefit many people within the supply chain. Combining this disruptive concept with IoT technology is an incredible opportunity for businesses to improve. Ultimately, it will also allow stakeholders to improve the overall efficiency and cost of their business, and improve many aspects of work for employees….

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The Big Idea: Are We Living In a Simulation?

Elon Musk thinks you don’t exist. But it’s nothing personal: he thinks he doesn’t exist either. At least, not in the normal sense of existing. Instead we are just immaterial software constructs running on a gigantic alien computer simulation. Musk has stated that the odds are billions to one that we are actually living in “base reality”, ie the physical universe.

At the end of last year, he responded to a tweet about the anniversary of the crude tennis video game Pong (1972) by writing: “49 years later, games are photo-realistic 3D worlds. What does that trend continuing imply about our reality?”

This idea is surprisingly popular among philosophers and even some scientists. Its modern version is based on a seminal 2003 paper, Are We Living in a Computer Simulation? by the Swedish philosopher Nick Bostrom. Assume, he says, that in the far future, civilisations hugely more technically advanced than ours will be interested in running “ancestor simulations” of the sentient beings in their distant galactic past.

If so, there will one day be many more simulated minds than real minds. Therefore you should be very surprised if you are actually one of the few real minds in existence rather than one of the trillions of simulated minds.

This idea has a long history in philosophical scepticism (the idea that we can’t know anything for sure about the external world) and other traditions. The Chinese Taoist sage Zhuangzi wrote a celebrated fable about a man who couldn’t be sure whether he was a man dreaming of being a butterfly, or a butterfly dreaming of being a man.

René Descartes imagined that he might be being manipulated by an “evil demon” (or “evil genius”) that controlled all the sensations he experienced, while the 20th-century American philosopher Hilary Putnam coined the term “brain in a vat” to describe a similar idea. But while Neo in the Wachowskis’ 1999 film The Matrix really is a brain (or rather a whole depilated body) in a vat, the simulation hypothesis says that you do not have a physical body anywhere. “You” are merely the result of mathematical calculations in some vast computer.

There are many possible objections to this idea even getting off the ground, as Bostrom notes. Perhaps it is simply not possible for computer-simulated beings to become conscious in the way we are. (This would defeat the “assumption of substrate independence”, according to which minds are not dependent on biological matter.) Or perhaps all civilisations destroy themselves before getting to the simulation stage. (Plausible if not necessarily comforting.)

Or perhaps advanced civilisations are simply not interested in running such simulations, which would be surprising given the kinds of things humans do – such as developing video deep-fake technology or researching how to make viruses more virulent – even though they seem to be very bad ideas.

The simulation hypothesis is perhaps attractive to a wider culture because of its nature as a cosmic-scale conspiracy theory as well as an apparently scientific version of Creationism. The inconceivably advanced alien running its simulation of our universe is indistinguishable from traditional terrestrial ideas of God: an all-powerful being who designed everything we see.

But is this god the god of deism (who sets up the laws of nature but then absents himself while creation runs its course), or a more interventionist figure? If the latter, it might make sense to court their favour.

How, though, should we please such a god? Not necessarily by being virtuous, but by being – assuming the simulator is watching us for its own pleasure – at least entertaining. This line of reasoning might imply, for example, that it is one’s duty to become a florid serial killer, or a guy who tries to colonise Mars and buy Twitter.

“Be funny, outrageous, violent, sexy, strange, pathetic, heroic … in a word ‘dramatic’,” counsels the economist Robin Hanson, considering that assumption in his 2001 paper How to Live in a Simulation . “If you might be living in a simulation then all else equal it seems that you should care less about others,” he concludes, and “live more for today”.

One commonly despairing reaction to the idea that we might all be simulated is that this renders our lives meaningless, and that nothing we see or experience is “real”. The Australian philosopher David Chalmers, in his recent book Reality+: Virtual Worlds and the Problems of Philosophy, argues otherwise. For him, a digital table in VR is a real table.

It is no more disqualified from being “real” by the fact that it is, at bottom, made up of digital ones and zeros than a physical table is disqualified from being real by the fact that it is, at bottom, made up of quantum wave-packets. Indeed, some esoteric theories of physics consider “reality” itself to be at base quantum-computational or mathematical in nature anyway.

Is there any good reason to actually believe the simulation argument, though? Or is it just aesthetically piquant techno-religion? Chalmers observes that it is at least more plausible than earlier iterations of scepticism such as Descartes’s evil demon, simply because we now have functioning prototypes (video games, VR) of how such a simulation might work.

Others have speculated that there may be clues to the fact that our universe is a simulation hidden in the very fabric of the “reality” that we can investigate: perhaps the simulation cuts corners at very small scales or very high energies. Indeed, experiments (for instance in Campbell et al., “On Testing the Simulation Theory”, 2017) have been seriously proposed that might reveal the answer.

But not so fast. Remember that we can’t know what the goal of the simulators is. Perhaps, for them, the game is not merely to observe us as an indefinite planet‑sized soap opera, but simply to see how long the sim-people take to prove that they’re in a simulation. At which point, the game ends and the simulation is turned off. Perhaps we’re better off not finding out.

Steven Poole is the author of Rethink: The Surprising History of New Ideas, published by Random House. To support the Guardian and the Observer order a copy at guardianbookshop.com. Delivery charges may apply

Source: https://3quarksdaily.com

Related contents:

Reality+: Virtual Worlds and the Problems of Philosophy by David J Chalmers (Allen Lane)

Programming the Universe: A Quantum Computer Scientist Takes on the Cosmos by Seth Lloyd (Vintage)

The Simulation Hypothesis: An MIT Computer Scientist Shows Why AI, Quantum Physics and Eastern Mystics All Agree We Are in a Video Game by Rizwan Virk (Bayview)

“Words of advice: teaching enzyme kinetics”. The FEBS Journal. 288 (7): 2068–2083. doi:10.1111/febs.15537. ISSN 1742-464X. PMID 32981225.

Simulation article in Encyclopedia of Computer Science, “designing a model of a real or imagined system and conducting experiments with that model”Sokolowski, J.A.; Banks, C.M. (2009).

Principles of Modeling and Simulation. John Wiley & Son. p. 6.SBN 978-0-470-28943-3.

computer graphics SIGGRAPH 2007 | For Attendees | Papers Doc:Tutorials/Physics/BSoD – BlenderWiki Archived 12 October 2007 at the Wayback Machine.

“Modelling, Simulation & Synthetic Environments”. Thalse. Archived from the original on 21 June 2006. Retrieved 24 December 2007.

“Synthetic Environments”. CAE. Archived from the original on 22 January 2008. Retrieved 24 December 2007.

Thales defines synthetic environment as “the counterpart to simulated models of sensors, platforms and other active objects” for “the simulation of the external factors that affect them

Universal Turing Machine”. web.mit.edu. Retrieved 18 December 2019.

“Reacting to the Past Home Page” Archived 16 April 2009 at the Wayback Machine.

“Reacting to the Past: STEM Games”.

“Carana,” at ‘PaxSims’ blog, 27 January 2009.

Simulated Pistol Training: The Future of Law Enforcement Training?” (PDF). International Police Training Journal. Issue 5: 5–7. (pages missing)BN 978-1-55860-353-0.

“Brain-Computer Communication: Motivation, Aim, and Impact of Exploring a Virtual Apartment” (PDF). IEEE Transactions on Neural Systems and Rehabilitation Engineering. 15 (4): 473–481.

Nano”: the new nemesis of cancer”. J Cancer Res Ther. 2 (4): 186–95. doi:10.4103/0973-1482.29829. PMID 17998702.

Simulation Portfolio”. Virtual Anesthesia Machine. Retrieved 15 May 2016.

Understanding Nursing Handoffs: Safety Scholarship in Nursing”. Western Journal of Nursing Research. 39 (11): 1391–1393. doi:10.1177/0193945917727237. ISSN 0193-9459. PMID 28835189.

State of the evidence on simulation-based training for laparoscopic surgery: A systematic review”. Ann Surg. 257 (4): 586–93.

Expanding the use of simulation in open vascular surgical training”. J Vasc Surg. 56 (3): 847–52. doi:10.1016/j.jvs.2012.04.015. PMID 22836105.

“A Typology of Simulators for Medical Education”. Journal of Digital Imaging. 10 (Suppl 1): 194–196. doi:10.1007/BF03168699.

Society for Simulation in Healthcare by Raemer, Dan IN: Manual of Simulation in Healthcare. Oxford University Press. pp. 532–.

Certified Healthcare Simulation Educator (CHSE) – an update for ASPE”. Association of Standardized Patient Educators News. Retrieved 27 December 2015.

“A brief history of the development of mannequin simulators for clinical education and training”. Postgrad Med J. 84 (997): 563–570.

Equipment and technology in robotics]”. Arch. Esp. Urol. (in Spanish). 60 (4): 349–55. doi:10.4321/s0004-06142007000400004. PMID 17626526.

In Cybertherapy, Avatars Assist With Healing”. The New York Times. Archived from the original on 2 October 2011. Retrieved 27 February 2020.

The New Game Theory: Update”. Duke Magazine. Vol. 94, no. 3. Archived from the original on 9 June 2009. Retrieved 27 February 2020

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