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Energy-aware flexible job shop scheduling under time-of-use pricing

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  • Park, Myoung-Ju
  • Ham, Andy

Abstract

Compromising productivity in exchange for energy-saving does not appeal to capital-intensive manufacturing industries. However, we might be able to maintain the same productivity while significantly reducing the energy-cost. This paper addresses a flexible job shop scheduling under time-of-use pricing and scheduled downtime aiming to minimize makespan and total energy cost. First, an integer linear programming model is proposed. Second, a constraint programming model is proposed. Third, a managerial insight is derived. The computational study demonstrates we can maintain the maximum productivity while significantly reducing the energy-cost by 6.9% on average in large-sized benchmark instances.

Suggested Citation

  • Park, Myoung-Ju & Ham, Andy, 2022. "Energy-aware flexible job shop scheduling under time-of-use pricing," International Journal of Production Economics, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:proeco:v:248:y:2022:i:c:s0925527322001001
    DOI: 10.1016/j.ijpe.2022.108507
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    References listed on IDEAS

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    Cited by:

    1. Catanzaro, Daniele & Pesenti, Raffaele & Ronco, Roberto, 2023. "Job scheduling under Time-of-Use energy tariffs for sustainable manufacturing: a survey," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1091-1109.
    2. An, Xiangxin & Si, Guojin & Xia, Tangbin & Wang, Dong & Pan, Ershun & Xi, Lifeng, 2023. "An energy-efficient collaborative strategy of maintenance planning and production scheduling for serial-parallel systems under time-of-use tariffs," Applied Energy, Elsevier, vol. 336(C).
    3. Mark Kipngetich Kiptoo & Oludamilare Bode Adewuyi & Masahiro Furukakoi & Paras Mandal & Tomonobu Senjyu, 2023. "Integrated Multi-Criteria Planning for Resilient Renewable Energy-Based Microgrid Considering Advanced Demand Response and Uncertainty," Energies, MDPI, vol. 16(19), pages 1-25, September.
    4. 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.

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