3D mock-up of a machine next to a wireframe of the same machine

Challenges through the Performance Engineering Process

Machine builders around the world are looking at how digital transformation can help them innovate in response to better performance, the adoption of new technology, and global competition. This is driving demand for more intelligent, flexible, configurable, and automated industrial machinery equipment. Industrial machinery companies need to develop new design practices to keep pace with the growing complexity of the machines. Industrial machinery companies will need to develop new design practices to keep pace with the growing complexity of these machines, and to ensure these variations are safe, cost-effective, and perform as designed. Each variation needs to be validated before it’s delivered to a customer.

In this seminar series, our experts take you through all the steps of the performance engineering process. Customer examples are presented by our experts, and customers present as well how they managed to implement IPE (Intelligent Performance Engineering) and what benefit that brought to them.

Next to this, we present in detail how the engineering digital twin can be connected to factory automation, allowing to perform virtual commissioning and closed-loop validation. Finally, we introduce to you the application of new technologies like eXecutable Digital twin, as well as applying AI on machine data, and how this relates to the digital twin.

We also give a practical example of how to combine machine data, digital twin, and AI to optimize the operation of a fully integrated production plant.

Join us for the 7-session masterclass and learn how to overcome challenges through the Performance Engineering Process

Session 1: Machine Intelligent Performance Engineering from requirements to closed-loop validation
Session 2: Raising the bar on rotating machinery performance engineering
Session 3: Intelligent Performance Engineering for Production machinery
Session 4: Intelligent Performance Engineering for HVAC with ABT
Session 5: ROBOTICS: Maximize the productivity and safety of automated guided vehicles (AGV)/ autonomous mobile robots (AMR) using Multiphysics Simulations
Session 6: Turning models and data into productivity by connecting Digital Twin with Factory automation
Session 7: How new technologies such as AI and xDT can complement both test and Multiphysics simulations to achieve efficiency and accuracy