The flexible job shop scheduling problem: A review
Peer reviewed, Journal article
Accepted version
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Date
2023Metadata
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- Scientific articles [2223]
Original version
10.1016/j.ejor.2023.05.017Abstract
The flexible job shop scheduling problem (FJSP) is an NP-hard combinatorial optimization problem, which has wide applications in the real world. The complexity and relevance of the FJSP have led to numerous research works on its modeling and resolution. This paper reviews some of the research of the past 30 years on the problem, by presenting and classifying the different criteria, constraints, configurations and solution approaches that have been considered. Recent emerging topics on complex shop scheduling, multi-criteria optimization and uncertain and dynamic environments are discussed. Finally, future research opportunities are proposed.