In today’s fast-paced and competitive landscape, original equipment manufacturers (OEMs) in the industrial and mechatronics sectors are constantly seeking ways to streamline their operations and improve product quality. One solution that stands out is the development of in-house virtual testing platforms based on digital twin technology. By harnessing the power of digital twins for virtual prototyping and virtual commissioning, OEMs can revolutionize their approach to create full production lines and solutions for their clients. In this blog post, we’ll explore the compelling reasons why OEMs should consider building their own virtual testing platforms.
As the era of Artificial Intelligence (AI) is rapidly approaching and everybody is talking about ChatGPT, it has become even more crucial to have and develop reliable digital twins and virtual models, which can act as the fuel for your own ChatGPT system, to cope with the challenges and complexities of the systems of today and tomorrow.
Digital twin technology has become increasingly popular in recent years, especially in the manufacturing industry. Companies are beginning to use digital twins to simulate and optimize their production processes, resulting in increased efficiency, improved quality, and reduced costs. However, in order to successfully implement digital twin initiatives in research and development, it is essential to get buy-in from stakeholders. In this blog post, we’ll explore some strategies to achieve this goal.
The development of a new machine or system is a process, where bottlenecks and other difficulties can be encountered. With methods like lean and agile, these production processes can be optimized taking out one bottleneck at a time. In this blog we guide you through the benefits of virtual development in systems engineering and R&D.
Digital Twin technology is still relatively new, and it is rapidly evolving. Here are five trends that may shape the development of digital twins in the next few years:
One of the buzzwords of 2022 was the Metaverse, mainly driven by the change of Facebook into Meta. This virtual realm is seen as a potential future for many industries, including manufacturing. After the interesting discussions and conversations with people on my previous blog on that topic, some asked me how we see it 1 year later, and mainly how we see this develop in the context of the manufacturing industry. In this blog we describe our take on the development and future of Digital Twins in the Industrial Metaverse.
Digital Twins help in optimizing workflows in the development, deployment and life cycles of systems. Although the value of Digital Twins has become more obvious, we still see a lot of manufacturing companies struggling to get started.
That’s why we want to discuss the 7 biggest mistakes and challenges we see companies struggling with.
How to get started with Virtual Commissioning
In the development of mechatronics systems in industry, software and controls teams normally are the last step in the development cycle. The hardware is ready and shipped to location and then the software is connected and often last-minute changed to ‘get the motor running’. However connecting the software untested and late in the development cycle is time consuming, stressfull (the factory is waiting), and expensive. Virtual Commissioning gives you the opportunity to develop and virtually test your (PLC-) software in an early stage. A Digital Twin is the ideal tool for simulation and communication. It helps to divide the software development work easier, and do more parallel testing over multiple teams. This enables you to get earlier insights and detects issues and errors before they appear in the field. This results in doing virtual FAT and SAT tests. Saving on travel expenses, people, and getting systems more quickly up and running.
Many large industrial OEM’s and ODM’s are moving from an engineering-to-order approach to a configure-to-order model. Instead of designing and creating all machines from scratch with every incoming order, these companies are assembling a catalogue full of standardized and extensively tested modules and building blocks. That way, they can pick and choose from their own library of readily available options, and deliver their solutions much faster to their customers. Moreover, they can reuse much of their design and engineering efforts, making their whole business process run smoother, safer and more efficient.