Energy-aware production scheduling in the flow shop environment under sequence-dependent setup times, group scheduling and renewable energy constraints

Masoumeh Ghorbanzadeh and Mohammad Ranjbar

European Journal of Operational Research, 2023, vol. 307, issue 2, 519-537

Abstract: In this paper, we investigate an energy-aware flow shop scheduling problem under sequence-dependent setup times, group scheduling, and renewable energy constraints. We aim to minimize the total energy cost dependent on time-of-use electricity tariffs. To this end, we develop two mixed-integer linear programming models, including a time-unit index model and a time-interval index model. Besides, we develop a decomposition-based heuristic algorithm to solve efficiently medium-size instances. Using extensive computational experiments, we show that the heuristic algorithm outperforms both developed models, and the time-interval index model indicates superior performance than the time-unit index model. Finally, we provide a set of sensitivity analyses and evaluation of economic performance.

Keywords: Scheduling; Sequence-dependent flow shop; Energy; Mixed-integer programming; Heuristic (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:307:y:2023:i:2:p:519-537

DOI: 10.1016/j.ejor.2022.09.034

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