A bi-objective heuristic approach for green identical parallel machine scheduling

Davide Anghinolfi, Massimo Paolucci and Roberto Ronco

European Journal of Operational Research, 2021, vol. 289, issue 2, 416-434

Abstract: Sustainability in manufacturing has become a fundamental topic in the scientific literature due to the preeminent role of manufacturing industry in total world energy consumption and carbon emission. This paper tackles the multi-objective combinatorial optimization problem of scheduling jobs on multiple parallel machines, while minimizing both the makespan and the total energy consumption. The electricity prices vary according to a time-of-use policy, as in many cases of practical interest. In order to face this problem, an ad-hoc heuristic method is developed. The first part of the method, called Split-Greedy heuristic, consists in an improved and refined version of the constructive heuristic (CH) proposed in Wang, Wang, Yu, Ma and Liu (2018). The second part, called Exchange Search, is a novel local search procedure aimed at improving the quality of the Pareto optimal solutions. The experimental results prove the effectiveness of the proposed method with respect to three competitors: CH, NSGA-III, and MOEA/D.

Keywords: Scheduling; Identical parallel machines; Bi-objective optimization heuristics; Makespan; Total energy consumption (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:289:y:2021:i:2:p:416-434

DOI: 10.1016/j.ejor.2020.07.020

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