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Multi-objective optimisation for energy-aware flexible job-shop scheduling problem with assembly operations

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  • Weibo Ren
  • Jingqian Wen
  • Yan Yan
  • Yaoguang Hu
  • Yu Guan
  • Jinliang Li

Abstract

There is a lack of studies on joint optimisation of flexible job-shop scheduling problem (FJSP) considering energy consumption and production efficiency in the machining-assembly system. Thus, in this paper, we propose a methodology for multi-objective optimisation of energy-aware flexible job-shop scheduling during machining and assembly operations. First, a mixed integrated mathematical model is developed to improve production efficiency and minimise energy consumption. Then, a novel heuristic algorithm integrated particle swarm optimisation (PSO) and genetic algorithm (GA) is developed to address the established multi-objective problem. Moreover, numerical examples are carried out to verify the validity and performance of the solving methods in achieving energy awareness in the manufacturing system. Computational results are presented to demonstrate the advantage of solving the problem compared with the exact method and common heuristic algorithms, and the trade-off between production efficiency and energy efficiency is analysed to make the final decision for managers.

Suggested Citation

  • Weibo Ren & Jingqian Wen & Yan Yan & Yaoguang Hu & Yu Guan & Jinliang Li, 2021. "Multi-objective optimisation for energy-aware flexible job-shop scheduling problem with assembly operations," International Journal of Production Research, Taylor & Francis Journals, vol. 59(23), pages 7216-7231, December.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:23:p:7216-7231
    DOI: 10.1080/00207543.2020.1836421
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    Cited by:

    1. João M. R. C. Fernandes & Seyed Mahdi Homayouni & Dalila B. M. M. Fontes, 2022. "Energy-Efficient Scheduling in Job Shop Manufacturing Systems: A Literature Review," Sustainability, MDPI, vol. 14(10), pages 1-34, May.
    2. Shen, Liji & Dauzère-Pérès, Stéphane & Maecker, Söhnke, 2023. "Energy cost efficient scheduling in flexible job-shop manufacturing systems," European Journal of Operational Research, Elsevier, vol. 310(3), pages 992-1016.
    3. M. Hajibabaei & J. Behnamian, 2023. "Fuzzy cleaner production in assembly flexible job-shop scheduling with machine breakdown and batch transportation: Lagrangian relaxation," Journal of Combinatorial Optimization, Springer, vol. 45(5), pages 1-26, July.

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