Author

Adrian Wood

Published

19 February 2026

Estimated Read time

5Mins

Adrian Wood, Strategic Business Development & Offer Marketing Director at DELMIA

The era of trial-and-error manufacturing is over. By integrating NVIDIA’s Physical AI into DELMIA’s Virtual Twin technology, Dassault Systèmes is moving the industry from static automation to autonomous software-defined systems that “learn” the laws of physics before the first part is made.

Revolutionising Manufacturing with Agile AI-Driven Production

Manufacturing is reaching a breaking point. Rigid production and logistics systems slow setup, ramp-up and scaling. Meanwhile deterministic automation struggles with real-world change, from new variants to unplanned constraints. The future is agile, software-defined production built on modular autonomous equipment, proven virtually and deployed with confidence.

Dassault Systèmes and NVIDIA are building the industrial AI foundation to make that future real. DELMIA contributes the virtual twin of production systems. A semantically rich model of production that connects design intent to real-world execution across engineering, manufacturing and supply chain. NVIDIA contributes physical AI and accelerated computing to simulate robotics-grade physics and perception at scale. Together, we can virtualise and orchestrate autonomous production systems. Then manufacturers can prove changes virtually and make them real faster, with less risk and rework.

This collaboration establishes a shared industrial AI architecture. This grounds artificial intelligence in the laws of physics and validated scientific knowledge. The integration of NVIDIA Omniverse physical AI libraries into the DELMIA Virtual Twin of global production systems represents a major step forward. It allows manufacturers to design, simulate and operate complex systems with a new level of confidence and precision. Not just incremental improvements; this partnership establishes a mission-critical system of record for industrial AI that powers a new way of working.

Virtual Twins: The Cornerstone of Modern Manufacturing

For years, manufacturers have optimised production lines in the physical world. While effective, this approach is often slow, resource-intensive and constrained by the cost of experimentation in live operations. Virtual twin technology changes this dynamic. A virtual twin is a science-based model of a system that goes beyond visualisation, enabling realistic validation of how operations should run before changes are made in the real world.

DELMIA empowers companies to create comprehensive virtual twins of their entire operational ecosystem. This includes everything from individual machines and robotic workcells to full factory floor layouts and global supply chains. Within this virtual environment, manufacturers can:

  • Simulate and validate production processes before a single piece of equipment is installed.
  • Optimise workflows for maximum throughput and efficiency.
  • Identify potential bottlenecks and safety hazards without disrupting ongoing operations.
  • Train operators and maintenance crews in a risk-free setting.

The virtual twin orchestrates design, engineering, production and supply chain in one environment so decisions can be tested, trusted and reused. This capability alone delivers significant value, but its impact grows when combined with physical AI.

Integrating AI for Autonomous Production

The partnership with NVIDIA brings physical AI into DELMIA virtual twins. NVIDIA Omniverse provides a platform for developing and operating 3D simulations and industrial digitalisation applications using OpenUSD-based interoperability. Combined with DELMIA’s production semantics, manufacturers can test autonomous behaviour in realistic conditions before deployment.

This is the shift from ‘mirroring reality’ to ‘proving change’. AI models accelerated by NVIDIA computing can evaluate scenarios across production constraints, resources and variability. They can help teams reduce commissioning surprises, improve flow and validate how production should respond to change, from new variants to disruptions.

The result is the emergence of software-defined production systems. These are factories and operations where decisions remain human-led, but are continuously supported by AI that recommends, tests and validates options in the virtual twin before changes are deployed. This creates a feedback loop where the virtual world is used to validate better outcomes for the real world.

A Practical Application: The OMRON Collaboration with DELMIA & NVIDIA Drive Real-World Success

To understand the real-world impact of this technology, consider the collaboration with OMRON, a global leader in industrial automation. OMRON recognizes that addressing the growing complexity of modern manufacturing requires a move toward fully autonomous and digitally validated production systems.

By combining DELMIA’s Virtual Twin of Production Systems, NVIDIA physical AI, and OMRON automation technologies, manufacturers can move from design to deployment with greater confidence. When a manufacturer introduces a new product variant or packaging change, automation often fails in small but costly ways, such as automation-grasping reliability, orientation on conveyors or downstream flow stability. Instead of trial-and-error changes on the line, teams can validate process logic, layout constraints and operating rules in the DELMIA virtual twin, then simulate realistic robot and material behaviour using NVIDIA’s AI before deployment. The result is faster adaptation and less physical rework.

The Top 3 Broader Impacts on Manufacturing

This fusion of virtual twin technology and industrial AI has far-reaching implications for the entire manufacturing sector including:

  1. Unlocking New Efficiencies: Software-defined production systems can continuously identify operational improvements that are difficult to see through manual oversight alone, improving throughput, uptime and overall performance while reducing avoidable losses.
  2. Advancing Sustainability Goals: By simulating processes in the virtual world, companies can minimize physical prototyping and reduce waste. AI-driven optimization within the DELMIA virtual twin helps manufacturers fine-tune their operations to consume less energy and use fewer raw materials, directly contributing to their sustainability commitments.
  3. Fostering Continuous Innovation: When the risk and cost associated with testing new ideas are lowered, innovation flourishes. Manufacturers can experiment with novel factory layouts, new automation strategies and different production workflows within the safety of the virtual twin. This agility allows them to adapt quickly to changing market demands and stay ahead of the competition.

The partnership between Dassault Systèmes and NVIDIA is about more than just combining two powerful technologies. It’s about establishing a new, scientifically validated foundation for industrial AI. By integrating NVIDIA’s physical AI libraries into DELMIA, we are empowering manufacturers to build the autonomous, efficient and sustainable factories of tomorrow, today.

  • Data & AI
  • Digital Strategy
  • Digital Supply Chain

Author

Dan Brightmore

Published

15 October 2024

Estimated Read time

6Mins

Read in brochure format

Our cover story reveals the digital transformation journey at global insurance services company Innovation Group using InsurTech advances to disrupt…

Our cover story reveals the digital transformation journey at global insurance services company Innovation Group using InsurTech advances to disrupt the industry.

Welcome to the latest issue of Interface magazine!

Read the latest issue here!

We’re excited to be publishing the biggest ever issue of Interface this month. It’s packed with insights from the cutting edge of digital technologies across a diverse range of sectors; from InsurTech to Travel via eCommerce, Banking, Manufacturing and Public Services.

Innovation Group: Enabling the Future of Insurance

“What we’ve achieved at Innovation Group is truly disruptive,” reflects Group Chief Technology Officer James Coggin.

“Our acquisition by one of the world’s largest insurance companies validated the strategy we pursued with our Gateway platform. We put the platform at the heart of an ecosystem of insurers, service providers and their customers. It has proved to be a powerful approach.”

Leeds Building Society: Tech Transformation Driven by Data

Carole Roberts, Director of Data at Leeds Building Society, on a digital transformation program driven by the mutual power of people and culture.

“We’ve made the decision to move to a composable architecture. It’s going to give us much more flexibility in the future to be able to swap in and out components rather than one big monolithic environment.”

AvePoint: Securing the Digital Future

Kevin Briggs, Vice President of Public Sector at AvePoint, discusses pioneering data security and management transformation in the global public sector.

“We ensure the security, accessibility and integrity of data for customers with missions from everything from finance and health services, through to national security, innovation, and science.”

Saudia: Taking off on a Digital Journey

Abdulgader Attiah, Chief Data & Technology Officer at Saudia, on the digital transformation program towards becoming an ‘offer and order’ airline.

“By the end of this year we will have established the maturity level for data technology, and our digital and back-office transformations. In 2025 we will begin implementing our retailing concept and the AI features that will drive it. The building blocks will be in place for next year’s initiatives where hyper personalisation for retailing is a must.”

Publicis Sapient: Global Banking Benchmark Study

Dave Murphy, Financial Services Lead, International – gives Interface the lowdown on the third annual Global Banking Benchmark Study and the key findings Publicis Sapient revealed around core modernisation, GenAI, data analytics transformation and payments.

“AI, machine learning and GenAI are both the focus and the fuel of banks’ digital transformation efforts. The biggest question for executives isn’t about the potential of these technologies. It’s how best to move from experimenting with use cases in pockets of the business to implementing at scale across the enterprise. The right data is key. It’s what powers the models.”

Habi: Unleashing liquidity in the LATAM market

Employees at Habi discuss its mission to help customers buy and sell their homes more effectively.

“At Habi, you can talk with the AI agent and you can provide information that streamlines the whole process.”

USDA FPAC: Achieving customer experience balance

Abena Apau and Kimberly Iczkowski, from USDA FPAC on the incredible work the organisation is doing to support farmers across America.

“We’ve created a new structure for ourselves, based on the fact that the digital experience is not the be all and end all, and we have to balance it with the human touch.”

Adecco Group: Digital Transformation driven by business outcomes

Geert Halsberghe, Head of IT, Benelux, at Adecco Group, talks transformation management, cultural consensus, and ensuring digital transformation starts (and stays) focused on solving business problems.

“It’s very crucial to make sure that we aren’t spending money on IT transformation for the sake of IT transformation.”

La Vie en Rose: Outcome-focused Digital Transformation

Éric Champagne, CIO of La Vie en Rose, on ensuring digital transformations are defined by communication, vision, and cultural buy-in. 

“I don’t chase after the latest technology just because it seems cool… My focus is on aligning technology with the business strategy and real needs.”

Breitling: Digital Transformation and the omnichannel experience

Rajesh Shanmugasundaram, CTO at Breitling, talks changing customer expectations, data, AI, and digitally transforming to deliver the omnichannel experience.

 “The CRM, the marketing, our e-commerce channels — they’ve all matured so much… we’re meeting our customers wherever they are or want to be.” 

Read the latest issue here!

  • Digital Strategy

Author

Kevin Davies

Published

17 February 2021

Estimated Read time

5Mins

Conventional robots, like giant industrial robots used in the car industry, are set to reach $14.9bn value this year, up from $12bn in 2018.

Robotics play a huge role in the manufacturing landscape today. A growing number of businesses use manufacturing robots to automate repetitive tasks, reduce errors, and enable their employees to focus on innovation and efficiency, causing the entire sector’s impressive growth.

According to data presented by AksjeBloggen.com, the global market value of conventional and advanced robotics in the manufacturing industry is expected to continue rising and hit $18.6bn in 2021, a 40% increase in three years.

Market Value Jumped by $5.4B in Three Years

Robots have numerous roles in manufacturing. They are mainly used for high-volume, repetitive processes where their speed and accuracy offer tremendous advantages. Other manufacturing automation solutions include robots used to help people with more complex tasks, like lifting, holding, and moving heavy pieces.

Companies turn to robotics process automation to cut manufacturing costs, solve the shortage of skilled labor and keep their cost advantage in the market.

In 2018, the global market value of conventional and advanced robotics in the manufacturing industry amounted to $13.2bn, revealed the BCG survey. In 2019, this figure rose to $14.8bn and continued growing. Statistics show the market value of manufacturing robots hit $16.6bn in 2020. This figure is expected to jump by $2bn and hit $18.6bn in 2021.

Conventional robots, like giant industrial robots used in the car industry, are set to reach $14.9bn value this year, up from $12bn in 2018.

The market value of advanced manufacturing robots, which have a superior perception, adaptability, and mobility, tripled in the last three years and is expected to hit $3.7bn in 2021. Combined with big data analytics, advanced manufacturing robots allow companies to make intelligent decisions based on real-time data, which leads to lower costs and faster turnaround times.

The BCG survey also showed most manufacturers believe advanced robotic systems will have a massive role in the factory of the future and plan to increase their use. More than 70% of respondents defined robotics as a significant productivity driver in production and logistics.

European and Asian Companies Lead in the Use of Advanced Manufacturing Robots

Analyzed by regions, European and Asian companies lead in the use of advanced robots, while manufacturers from North America lag behind. However, the survey showed 80% of respondents from the US plan to implement advanced robotics in the next few years.

The survey also revealed that manufacturers in emerging markets, especially China and India, are more enthusiastic about using advanced robots than those in industrialized countries. These companies may be looking to automation as a way to overcome a skilled labor shortage and improve their ability to compete in international markets.

Germany had the largest robot density in the manufacturing industry among European countries, with 346 installations per 10,000 employees in 2019. Sweden, Denmark, and Italy followed with 277, 243, and 212 installations per 10,000 employees, respectively.

Statistics also show that companies in the transportation and logistics and technology sector lead in implementing advanced robotics, with 54% and 53% of manufacturers who already use such solutions. The automotive industry and consumer goods sector follow with 49% and 44% share, respectively.

Manufacturers in the engineered products, process, and health care industries lag behind, with 42%, 41%, and 30% of companies that use advanced manufacturing robots. However, around 85% of manufacturers in these sectors plan to start using advanced robotic systems by 2022.

Author

Kevin Davies

Published

27 January 2020

Estimated Read time

5Mins

It’s clear that technology is evolving across every business, allowing companies to become more productive and efficient. Computer systems, such…

It’s clear that technology is evolving across every business, allowing companies to become more productive and efficient.

Computer systems, such as CRMs and warehouse management systems, can help you plan out your workload as efficiently as possible to increase productivity of staff, while analytics allow you to judge what updates are needed and when.

Bodysuits

It was announced in 2017 that line workers in the plant would pilot exoskeleton suits — wearable technology that can help support a worker’s arms while they undergo tasks above their heads. Ford’s Michigan plant is also using innovative technological developments to help its workforce. These suits can also be adjusted to support different weights, depending on the wearer’s needs.

While such suits were more likely to appear on the big screen in movies such as Iron Man just a few years ago, the creation is having positive feedback from its users in the real life world.

Printing techniques

In any manufacturing company, human error can be extremely costly. That’s where 3D printing can come into play. While it’s still early days for the technology, digital printing has the potential to have a massive impact on practicality. It’s expected that this invention will transform nearly every industry as it changes how manufacturers will do business and will impact material costs, the traditional assembly line and product pricing strategies.

They are particularly handy as automated printers, like those used by Voodoo Manufacturing, don’t need to be manned anymore and can continue working 24 hours a day. The use of robotics isn’t aimed at replacing humans, but more so making employees’ jobs easier.

Drones

Drones can impact a company massively, saving almost 12 hours on each inspection and reducing the time it takes to check the equipment from 12 hours to 12 minutes. Not only can drones provide a quick and thorough inspection, but they eliminate the health and safety risk of someone needing to scale up to 150 feet to look at gantries. They have started to use drones to help perform risky inspections on the factory’s equipment in it’s Dagenham engine plant. The company is benefitting massively,

Another advantage of drones is that they are particularly good at providing the company with video and still footage that can be stored to allow the plant to compare its findings over a period of time to monitor any changes or patterns that are noticeable. This has become an indispensable tool for the factory, with the drones greatly improving productivity and efficiency.

What does the future have in store?

The process of quality control can’t be too reliable, as faulty parts may well be produced in a batch and slip through after the checks. That’s why the ever-improving embedded metrology will continue to help manufacturers produce a better product. This quick and convenient solution is a lot more accurate and requires little human interference.

This process can traditionally be a very time-consuming and expensive project. There would be randomly selected machine-made parts that would be individually tested, and if they passed the test, the batch it came from would be validated.

To summarise, it’s anticipated that this human aspect can be removed completely, with technology helping to provide a fully integrated and fully automated form of quality control. While some of the public are concerned that jobs will be lost as it keeps progressing, it can only be a good thing for manufacturing companies as it continues to help improve productivity and efficiency. It will be interesting to see what we welcome to factories next! Technology is continuing to amaze us in all walks of life.

The automotive industry is no different, either, taking advantage of new inventions. It’s not only our cars that are benefitting from technological advances, though — the manufacturing industry is, too. Lookers, who offer a variety of cars such as the used Ford C Max, are an example of this too!

Author

Dale Benton

Published

30 September 2019

Estimated Read time

3Mins

Described as a leap forward from traditional automation to fully connected and flexible systems, the idea of a smart factory…

Described as a leap forward from traditional automation to fully connected and flexible systems, the idea of a smart factory is one defined by data and connected systems that can learn and adapt to new demands. Here, we look at five of the most powerful smart factories, as identified by the World Economic Forum.

Schneider Electric (le Vaudreuil, France)

Recognised as one of the most advanced manufacturing sites in the world, applying Fourth Industrial Revolution technologies at scale, Schneider Electric’s le Vaudreuil factory is a shining example of a smart factory.

The factory has implemented the latest digital tools such as EcoStruxureTM Augmented Operator Advisor, which enables operators to use augmented reality to speed up operation and maintenance, delivering between 2% and 7% gain in productivity. Its first implementation of EcoStruxureTM Resource Advisor delivers up to 30% energy savings and contributes to continuous improvement over the years.

Johnson & Johnson DePuy Synthes (Cork, Ireland)

First established back in 1997, the DePuy Synthes medical device manufacturing facility has seen a multi-million dollar expansion in recent years to better embrace digitalisation and Industry 4.0.

One of the biggest investments Johnson & Johnson made was in the Internet of Things space. By connecting machines, the factory used IoT technology to create digital representations of physical assets (known as digital twins) that lead to advanced machine insights. These insights allowed the company to lower its operating costs while simultaneously reducing machine downtime.

Bosch Automotive (Wuxi, China)

Opened in 2013, the Wuxi plant has been embracing data analytics over the last few years. The goal? To remove pain points including delayed data availability and even poor quality of the data. With a clear roadmap ahead, an industrial 4.0 framework, Bosch began implementing machine-condition sensors to capture data and improve the quality of said data. Key examples include the implementation of Bosch Nexeed PPM (Production Performance Manager) which allows for predictive maintenances or real-time process and machine condition monitoring. By using advanced data analytics, Bosch is able to deeply understand and eliminate output losses, simulate and optimise process settings and predict machine interruptions.

Haier – Qingdao, China

The SmartFactoryKL was built as a means of paving the way for ‘the intelligent factory of tomorrow’. It is the world’s first manufacturer-independent Industry 4.0 production plant, acting as an exhibition of the power of high quality and flexible manufacturing and how it can be efficiently implemented.

Over the last four years, SmartFactoryKL has been driven by clear strategic goals that drive innovation and in 2019; the goal is to see the implementation of artificial intelligence in manufacturing. Artificial Intelligence led transformations include an ‘order-to-make’ mass customisation platform and a remote AI supported, intelligent service cloud platform to predict maintenance needs before they happen.

http://www.haier.com/
https://twitter.com/haier_ksa

Procter & Gamble – Rakon, Czech Republic

The second oldest plant in Procter & Gamble’s portfolio, the plant is one of the most advanced factories in the world. With its implementation of an end-to-end synchronisation analytical model, the plant allows for simulation, agility and responsiveness across the entire supply chain.

Such innovation has seen an increase in speed to market, inventory efficiency and an uplift in customer satisfaction of 116%.

https://us.pg.com/
https://twitter.com/proctergamble
https://www.facebook.com/ProcterandGambleHrvatska/