Decision Making in Flexible Manufacturing Systems Using Machine Learning Algorithm: A Review

2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)(2023)

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摘要
In Flexible Manufacturing Systems (FMS), decision making plays an important role in optimizing production and operational efficiency. This decision making should be efficient and adaptive. Machine Learning (ML) has become a fundamental tool to improve decision making in FMS. This paper discusses the foundations of FMS, the importance of decision making and how ML can revolutionize this process. A review of the algorithms used in decision making using ML in FMS is showed. To illustrate this integration a case study of an FMS is presented.
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关键词
FMS,Robotics,Machine Learning,PetriNets
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