A reinforcement learning enhanced memetic algorithm for multi-objective flexible job shop scheduling toward Industry 5.0

Flexible job shop scheduling problem (FJSP) with worker flexibility has gained significant attention in the upcoming Industry 5.0 era because of its computational complexity and its importance in production processes. It is normally assumed that each machine is typically operated by one worker at an...

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Bibliographic Details
Published in:	International journal of production research Vol. 63; no. 1; pp. 119 - 147
Main Authors:	Chang, Xiao, Jia, Xiaoliang, Ren, Jiahao
Format:	Journal Article
Language:	English
Published:	London Taylor & Francis 02.01.2025 Taylor & Francis LLC
Subjects:	Aircraft Aircraft performance Algorithms Flexible hours Flexible job shop scheduling Industry 5.0 innovation and infrastructure Job shop scheduling Job shops learning effect Machine learning multi-objective memetic algorithm Multiple objective analysis Production scheduling reinforcement learning SDG 9: Industry uncertain processing time Workload Workloads
ISSN:	0020-7543, 1366-588X
Online Access:	Get full text
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