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

Myoung-Ju Park and Andy Ham

International Journal of Production Economics, 2022, vol. 248, issue C

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.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:248:y:2022:i:c:s0925527322001001

DOI: 10.1016/j.ijpe.2022.108507

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