Porsche combines bayesian networks with modern approaches to optimize production planning episode artwork

EPISODE · Aug 16, 2023 · 31 MIN

Porsche combines bayesian networks with modern approaches to optimize production planning

from Industrial AI Podcast · host Robert Weber / Peter Seeberg

We talk to Simon Dürr from Porsche and Prof. Dr. Marco Huber from Fraunhofer IPA. Simon was responsible for the project at Porsche and wrote his PhD thesis on it. Marco Huber was his supervisor and together they explain the approach. The project attracted a lot of attention within the company. With this episode, Peter and Robert say goodbye to the summer break. We will be back in September. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner [Siemens ](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html) Thanks to Women in AI and Robotics ([more](https://www.womeninairobotics.de/)) PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich [https://www.zuehlke.com/en/machine-learning](https://www.zuehlke.com/en/machine-learning) We thank our team: Barbara, Anne and Simon!

Episode metadata supplied by the publisher feed · Published Aug 16, 2023

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Porsche combines bayesian networks with modern approaches to optimize production planning

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