Data Science and Data Quality: The Case of Semiconductor Production Planning
Details
Dear all,
Following the success of last week's Meetup we are very happy to announce the next one ... Very different topic, very similar excitement on our behalf. We will have a double gig focussing on data quality in semiconductor production planning (yes, there is plenty of expertise in this area here in Regensburg!) So please join us for an evening of discussion around a data science topic we had not covered so far in all those years the Data Science @ Regensburg Meetup has been running ...
Cheerio,
Udo, David and Bernd
Details:
Speakers:
Fabian Suhrke (Principal Staff Engineer at ams OSRAM)
Simon J. Preis (Professor at OTH Amberg-Weiden)
Title:
The Synergy of Data Science and Data Quality: Insights and Solutions from the Semiconductor Production Planning
Short Bios:
Fabian Suhrke
- Dipl. math. (FH)
- Principal Staff Engineer at ams OSRAM.
- More than 10 years of experience in the field of Operations Research. Responsible for the conceptualization, development, and implementation of logistical projects such as Real Time Dispatching, strategic portfolio optimization, and factory simulation to enhance material flow.
- Focus: Simulation, Machine Learning, Factory Physics
- Contact: [fabian.suhrke@ams-osram.com](mailto:fabian.suhrke@ams-osram.com)
Simon J. Preis
- Ph.D. in Computer Science, M.Eng. in Logistics
- Professor of Quantitative Business at OTH Amberg-Weiden
- More than 12 years of experience in data management, data analytics and digital manufacturing in the semiconductor industry (ams-OSRAM, Intel, Infineon).
- Research & Practice Focus: Data Management Frameworks and Strategies, Business Application Concepts for Data-based Technologies, Operational Excellence Methods and Tools
- Contact: [s.preis@oth-aw.de](mailto:s.preis@oth-aw.de)