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59,80 €ISBN 978-3-8440-9464-0Softcover250 pages67 figures338 g21 x 14,8 cmEnglishThesis
April 2024
Marvin Carl May
Intelligent production control for time-constrained complex job shops
In wake of an ever increasing complexity the desire to move towards intelligently controlling operations is amplified in manufacturing. Complex job shops mark the most complex production environments that require a high degree of agility to control. Among these complex manufacturing environments semiconductor manufacturing stands out as it combines all complexities to form a truly complex job shop. Hence, operational excellence is the key to success and relies on intelligent production control. A major concern in controlling such complex job shops, in this case semiconductor wafer fabrication, is the presence of time-constraints that limit the transition time of products between two, mostly successive, processes. Adhering to these product specific time-constraints is of utmost importance as violations result in scrapping the violating product. The state-of-the-art production control of these dispatching decisions that aim at adhering to time-constraints is based on error-prone manual control that is stressful for human operators. Thus, within this thesis a novel, real-time data based approach for intelligently controlling production control for time-constrained complex job shops is presented. Using an up-to-the-minute replica of the real system both uni-, multi-variate time series models and a digital twin are used to obtain violation predictions. As a second step, based on the time-constraint violation expectancy the production control is derived and implemented with a real-world semiconductor manufacturing plant real-time data. The resulting approach is, therefore, validated against the state-of-the-art showing significant improvements as many time-constraint violations could be prevented.
Keywords: Semiconductor Manufacturing; Complex Job Shops; Production Planning and Control; Intelligent Production Control
Forschungsberichte aus dem wbk, Institut für Produktionstechnik, Karlsruher Institut für Technologie (KIT)
Edited by Prof. Dr.-Ing. Jürgen Fleischer, Prof. Dr.-Ing. Gisela Lanza and Prof. Dr.-Ing. habil. Volker Schulze, Karlsruhe
Volume 278
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