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Metaheuristics for the multi-objective FJSP with sequence-dependent set-up times, auxiliary resources and machine down time

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  • Jacomine Grobler
  • Andries Engelbrecht
  • Schalk Kok
  • Sarma Yadavalli

Abstract

This paper investigates the application of particle swarm optimization (PSO) to the multi-objective flexible job shop scheduling problem with sequence-dependent set-up times, auxiliary resources and machine down time. To achieve this goal, alternative particle representations and problem mapping mechanisms were implemented within the PSO paradigm. This resulted in the development of four PSO-based heuristics. Benchmarking on real customer data indicated that using the priority-based representation resulted in a significant performance improvement over the existing rule-based algorithms commonly used to solve this problem. Additional investigation into algorithm scalability led to the development of a priority-based differential evolution algorithm. Apart from the academic significance of the paper, the benefit of an improved production schedule can be generalized to include cost reduction, customer satisfaction, improved profitability, and overall competitive advantage. Copyright Springer Science+Business Media, LLC 2010

Suggested Citation

  • Jacomine Grobler & Andries Engelbrecht & Schalk Kok & Sarma Yadavalli, 2010. "Metaheuristics for the multi-objective FJSP with sequence-dependent set-up times, auxiliary resources and machine down time," Annals of Operations Research, Springer, vol. 180(1), pages 165-196, November.
    • Handle: RePEc:spr:annopr:v:180:y:2010:i:1:p:165-196:10.1007/s10479-008-0501-4
    DOI: 10.1007/s10479-008-0501-4
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    3. Dauzère-Pérès, Stéphane & Ding, Junwen & Shen, Liji & Tamssaouet, Karim, 2024. "The flexible job shop scheduling problem: A review," European Journal of Operational Research, Elsevier, vol. 314(2), pages 409-432.
    4. Qiu, Rui & Xu, Jiuping & Zeng, Ziqiang & Chen, Xin & Wang, Yinhai, 2022. "Carbon tax policy-induced air travel carbon emission reduction and biofuel usage in China," Journal of Air Transport Management, Elsevier, vol. 103(C).
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    6. Shesh Narayan Sahu & Yuvraj Gajpal & Swapan Debbarma, 2018. "Two-agent-based single-machine scheduling with switchover time to minimize total weighted completion time and makespan objectives," Annals of Operations Research, Springer, vol. 269(1), pages 623-640, October.
    7. Guangchen Wang & Xinyu Li & Liang Gao & Peigen Li, 2022. "An effective multi-objective whale swarm algorithm for energy-efficient scheduling of distributed welding flow shop," Annals of Operations Research, Springer, vol. 310(1), pages 223-255, March.

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