Michael Grieves

The Digital Twin: Requirements, Obstacles, and Opportunities

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:

  • Behavior modeling/simulation and defining information maturity
  • Alignment of macro and micro processes 
  • Performance profile predictions
  • Digital Twin behavior drivers

Sebastian Neumeyer

Digital Twin in Aerospace - Challenges, Opportunities and Lessons Learned

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:

  • Why a digital twin may not always be necessary
  • The importance of starting with clear business objectives
  • Are you ready? Do you have the IoT infrastructure to underpin your digital twin?
  • Minimizing the risks and understanding the investment implications

Michael Grieves

Mitigating Systems Complexity & Unintended Systems Emergent Behaviours through NASA's Digital Twin Strategy

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.

Joachim Hensch, Joachim Hensch

Snippet - The Digital Twin in Fashion and Apparel

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.

Jaswinder Walia, Jaswinder Walia

Snippet - Harnessing the Digital Twin

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.

Michael Maier

Leveraging the Digital Twin at Maier Machines

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:

  • Leveraging the digital transformation to increase competitiveness 
  • The business case behind the digitalization and the digital twin
  • Experiences with the digital twin: from daily operation to customer relations

Michael Grieves

IoT, the ‘Digital Twin’ and Monitoring After-Market Product Performance

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.

  • What does the Digital Twin mean in terms of product information from design through to manufacturing?
  • Front running simulation of after-market performance in real-time to predict and therefore avoid downtime and failure
  • What is the role of IoT in realizing this model?
  • Exploring example use cases
  • What part does PLM and it’s associated product data play in enabling a prognostic strategy?
  • How do companies need to be thinking, what understanding is needed and what information is required to make this a business reality?

Michael Grieves

Operationalizing the Digital Twin - What Does It Really Mean to 'Go Digital'?

When Mike Grieves coined the term “Digital Twin” in 2002, the application of the Internet of Things technologies was in its infancy and as such the discussion was mainly focused on monitoring, simulation and predictive maintenance.

Although those applications are transformative in their own right, there is much more to the concept that needs to be realized in order to take full advantage of the IoT value proposition. As interest in digital twin is rising alongside an increased number of smart connected products, the context in which the digital twin operates becomes crucial to its success.

Mike joins PI to provide a holistic view of what it really means to ‘go digital’ and operationalize the digital twin in the context of a modern enterprise.

This session covers:

  • Introducing digital twin use cases across design, manufacturing and maintenance stages of the product lifecycle

  • Translating the concept of digital twin into use cases to be implemented in the organization

  • Physical twin requirements - smart vs. smart and connected products

  • Digital twin obstacles and opportunities