Division Supply Chain Services at Fraunhofer IIS
Division Supply Chain Services at Fraunhofer IIS

Dr. Paulina Prantl (geb. Sierak)

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Dr. Paulina Prantl is the head of the "Analytics" department in the Supply Chain Services division at the Fraunhofer Institute for Integrated Circuits (IIS). Her research focuses on applying artificial intelligence (AI) and machine learning in industrial contexts, with a particular emphasis on optimizing business processes such as Supply Chain Management or Production. Together with her team, she is dedicated to developing AI solutions that enhance resource efficiency across the entire supply chain while also advancing AI itself to make it more accessible across industries. Before her current role, Dr. Prantl led the "Data Efficient Automated Learning" group and served as a technical team lead in production planning at BMW.

Since 2024
Head of the Analytics department in the Supply Chain Services division of Fraunhofer IIS

Seit 2021
Group leader Data Efficient Automated Learning DEAL in the Supply Chain Services division of Fraunhofer IIS

2019-2021
Technical team leader in the production planning of media filling systems at BMW (e.g. fuel refueling, brake fluid filling, refrigerant, coolant, etc.)

2017–2019
Specialist in production planning, assembly process planning/plant planning in the area of vehicle finishing

2014–2017 (Doctoral degree 2020)
Doctorate at BMW in cooperation with the Laboratory for Materials and Joining Technology at the University of Paderborn and the Leiden Institute of Advanced Computer Science, NL

2007–2014
Studied mechanical engineering at the Technical University of Munich (TUM)

Publications:

Meschut, G., Sierak, P. (2020): Qualifizierung intelligenter Datenanalysemethoden bei vollautomatisierten Klebtechnikanwendungen. In: Berichte aus dem Laboratorium für Werkstoff- und Fügetechnik. Band 147. Shaker-Verlag

 

Lectures:

Ressourceneffizienz durch KI vs. Ressourceneffiziente KI und Panelvortrag: Klimaneutrale Produktion & Logistik: Wie weit ist die Autoindustrie wirklich? (2023)
Automobil Produktion Kongress, 16.Mai 2023, München.

Inline Quality Forecast of Adhesive Bonding Processes in Electric Vehicle Production (2017) Vortrag zusammen mit Maier, N.; Meschut, G.; Bäck, Th. ; Assembly Engineering Insight @JLR, Sep. 27-28, Gaydon/Solihull, UK, 2017. 

Parameter Cross Interaction of Fully Automated Adhesive Application Processes for Automotive Applications (2016) Vortrag mit Meschut, G. Bäck, Th.; »Eleventh European Adhesion Conference and Thirteenth International Triennial Conference on the Science and Technology of Adhesion and Adhesives« (EURADH & ADHESION 2016) vom 21.-23.9.2016 in Glasgow, UK

 

Patents:

Sierak, P.; Girolstein, C.; Nagel, S.: Verfahren zur Prognose der Qualität von Klebverbindungen. DE 10 2016 217 948 A1. 2016.

 

Interviews:

»Data Efficient Automated Learning« (DEAL) – eine Gruppe stellt sich neu auf  Read the interview about her research and role as group leader here.