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Autonomous order dispatching in the semiconductor industry using reinforcement learning

Kuhnle, Andreas 1; Röhrig, Nicole 1; Lanza, Gisela 1
1 Institut für Produktionstechnik (WBK), Karlsruher Institut für Technologie (KIT)


Cyber Physical Production Systems (CPPS) provide a huge amount of data. Simultaneously, operational decisions are getting ever more complex due to smaller batch sizes, a larger product variety and complex processes in production systems. Production engineers struggle to utilize the recorded data to optimize production processes effectively because of a rising level of complexity. This paper shows the successful implementation of an autonomous order dispatching system that is based on a Reinforcement Learning (RL) algorithm. The real-world use case in the semiconductor industry is a highly suitable example of a cyber physical and digitized production system.

Verlagsausgabe §
DOI: 10.5445/IR/1000146229
Veröffentlicht am 06.07.2022
DOI: 10.1016/j.procir.2019.02.101
Zitationen: 33
Zitationen: 33
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 2212-8271
KITopen-ID: 1000146229
Erschienen in Procedia CIRP
Verlag Elsevier
Band 79
Seiten 391–396
Bemerkung zur Veröffentlichung 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 18-20 July 2018, Gulf of Naples, Italy
Vorab online veröffentlicht am 13.03.2019
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