Porsche combines bayesian networks with modern approaches to optimize production planning
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.
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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!
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!
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