In this presentation, Michael guides us through the product’s lifecycle instances and showcases what it takes to leverage the digital twin to create, test and build products – and even entire processes – in a virtual environment and transfer these insights to the physical world of manufacturers.
Topics of this session include:
The potential of digital twins is a significant reduction in operating and maintenance costs, optimized product performance and greatly improved decision making. However, beyond the hype, how should manufacturers be putting digital twins into practice?
This session addresses:
The issue with today's complex systems is that often behaviours emerge that are unforeseen and unwanted. The usual and expensive part of this issue is that these unforeseen and unwanted behaviours do not surface until after the system has been designed and realized. In the worst-case scenario, these unwanted behaviours result in a catastrophic failure. In the best case scenario, we are faced with expensive and time-consuming changes to the system.
Once the system is realized in atoms, i.e., a physical manifestation, the cost and time to make corrections ranges from the costly to the unaffordable. A major way to mitigate this issue is to use bits, i.e., modelling and simulation, in order to test out the system virtually and uncover emergent behaviour that is detrimental to the performance of the system. The NASA DigitalTwin project is a step in that direction.
This presentation outlines the scale and scope of the initial efforts and discusses the path forward.
Despite the textile industry being full of moving, starting-over stories, and representing creativity, its technology level is – compared to other industries – still low. For many, there is simply no need to improve or change the way the industry manufacturers with regards to machinery or processes. Joachim explains how the digital twin can be leveraged in the fashion industry to design better products and increase speed to market.
Digital twins combine data and intelligence that represent the structure, context, and behavior of a physical system of any type, offering an interface that allows manufacturers and operators to better understand past and present operation. Jaswinder explains how GE bridges the physical and the digital world to make reliable predictions and significantly improve the operational performance and business processes.
Emerging technologies, such as the digital twin, are time and cost-saving applications not exclusively for Forbes 500 companies but can also be an economically viable investment for small and medium enterprises. At Maier Werkzeugmaschinen, the digital twin is already a business reality and has made commissioning machine tools significantly faster, more reliable and convenient.
In this interview, Michael shares his experiences from his transformation journey and explains how he successfully implemented the digital twin, including:
Allowing revenue streams to stop at point of sale is, for many, a thing of the past. Providing a product and an attached service contract however, maximizes the bottom line while maintaining customer engagement and in theory, loyalty. After all, if you made the product and have all of its related data, there is no one else better placed for the job of servicing it.
But this needs to go beyond a warranty and the real-time and continuous connectivity opportunity offered by the industrial internet provides a method of constant information generation, collection and analysis so a full prognostic operation is underway at all times. By leveraging existing product data and the data being generated in the after-market, a Digital Product Twin can be created that allows for the continuous monitoring of its physical partner and allows you to always be one step ahead of failure.