Particularly, the paper highlights the flexible job shop scheduling problem in the context of dynamic events and preventive maintenance. These dynamic events, such as machine breakdowns and unexpected changes in job requirements, present additional challenges to the scheduling problem. Furthermore, this ...
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...
Traditional job shop scheduling is concentrated on centralized scheduling or semi-distributed scheduling. Under the Industry 4.0, the scheduling should deal with a smart and distributed manufacturing system supported by novel and emerging manufacturing technologies such as mass customization, Cyber-Physics Sy...
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Kacem. I, & Hammadi, S., (2002b). Approach by localization and multiobjective evolutionary optimization for flexible job-shop scheduling problems.IEEE Transactıons On Systems, Man, And Cybernetıcs–Part C: Applıcatıons And Revıews, 32(1), 1–13. ...
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Chaudhry IA, Khan AA (2015) A research survey: review of flexible job shop scheduling techniques. Int Trans Oper Res 23(3):551–591. https://doi.org/10.1111/itor.12199 Article MathSciNet MATH Google Scholar Che A, Zhang S, Wu X (2017) Energy-conscious unrelated parallel machine schedu...
GA and its variants has been successfully applied on FLP [103, 119, 133, 201]. 5.1.2 Scheduling GA shows the superior performance for solving the scheduling problems such as job-shop scheduling (JSS), integrated process planning and scheduling (IPPS), etc. [119]. To improve the performance...