About this Series

In this “Learn From Your Peers” Webinar Series, you will hear from your peer manufacturing companies about their successful deployment of next-generation simulation technologies. What customer challenges they faced? How did they meet these challenges? What were the hurdles they overcame? What benefits did they reap? What lessons did they learn along the way?

The focus of this series is not the underlying technologies that were used, but rather the journey – from challenges to solutions, benefits, and the valuable lessons learned along the way. When possible, you will get to meet and have a discussion with the presenter from the manufacturing company.

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Completed Webinars

Development of a flexible digital thread for managing system performance simulation at Toyota Motor Europe

The MBD team at Toyota Motor Europe R&D is responsible for technical development of simulation methods and their deployment. This webinar defines the overall vision of the engineering data management solution, its extension to SPDM and results that have been measured.

The use of Machine Learning in Future Transport Safety Applications

This webinar highlights the benefits of using artificial intelligence in the design of vehicle crash structures as well as occupant kinematics in future autonomous vehicles.

Fast and Easy Simulation Automation Accelerates Innovation at PAX Scientific for US Navy and Others

This webinar shows how PAX could automate pre-processing and report generation with a similar effort as usually needed for setting up a single simulation in traditional simulation environments. As result, PAX can execute as many simulations as fast as the capacity of their servers allows.

Leveraging AI to Tackle Complex Engineering Challenges: Featuring Practical Customer Case Studies

This webinar showcases how Maya HTT clients are successfully utilizing data and enabling non-data scientists to leverage AI technologies. Those looking to understand what industrial IoT and AI can bring to an engineering organization are encouraged to view this webinar.

How Caterpillar Designers & Engineers Optimize Product Design Using Simulation

Hear how Caterpillar is leveraging simulation to allow their designers and engineers to do just that – a Heavy Industrials Case Study is presented by Sam Showman of Caterpillar.

How Democratization Helps GKN Engineers to Sleep Better

This webinar discusses the advantages of applying a low code application development platform that effectively makes Excel spreadsheets behave like modern enterprise applications (that can be integrated into workflows if needed), eliminating Excel’s weaknesses and providing a far higher level of comfort that these tools are functioning correctly, consistently and securely.

Rigor at the Speed of Relevance: The Symbiotic Relationship of Model-Based Systems Engineering and Simulation

This webinar will discuss the advantages of using automated validation to generate a descriptive system model with synchronized structure and behavior and illustrate ways in which this information can be transformed to support modeling and simulation. The use of models for failure analysis, sprint planning, and classification/data rights management will also be discussed.

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Industry 4.0, 5.0 and Beyond: Where Does Engineering Simulation Fit?

This webinar recording brings together all of the emerging simulation technologies in systems thinking and MBE to look at how they will contribute to advancing engineering simulation techniques in support of Industry 4.0 and 5.0. Advanced simulation technologies and data analytics will be exploited in conjunction with cognitive computing and Cyber-Physical Systems (CPS) comprised of interacting digital, analog, physical, and human components such as autonomous vehicles and collaborative robots.

Simulation Governance is Critical for Reliable Condition-Based (Predictive) Maintenance

This webinar recording includes a case study in which the goal was the development of a mathematical model for supporting condition-based maintenance (CBM) decisions. The model was designed for estimating the remaining fatigue service life of high-value mechanical components, given their service history and that specific flaws (such as corrosion defects) have been discovered in them, thus enabling CBM to move damaged component removals from unscheduled to scheduled maintenance action.