☆ 4.7 Article

Bi-objective identical parallel machine scheduling to minimize total energy consumption and makespan

JOURNAL OF CLEANER PRODUCTION (2018)

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期刊

JOURNAL OF CLEANER PRODUCTION
卷 193, 期 -, 页码 424-440

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2018.05.056

关键词

Identical parallel machine scheduling; Makespan; Total energy consumption; Augmented epsilon-constraint method; Constructive heuristic; NSGA-II

类别

Green & Sustainable Science & Technology Engineering, Environmental Environmental Sciences

资金

  1. National Natural Science Foundation of China [71701144, 71571134, 71571135]
  2. Fundamental Research Funds for the Central Universities

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Currently, energy consumption reduction is playing a more and more important role in production and manufacturing, especially for energy-intensive industries. An optimal production scheduling can help reduce unnecessary energy consumption. This paper considers an identical parallel machine scheduling problem to minimize simultaneously two objectives: the total energy consumption (TEC) and the makespan. To tackle this NP-hard problem, an augmented c-constraint method is applied to obtain an optimal Pareto front for small-scale instances. For medium-and large-scale instances, a constructive heuristic method with a local search strategy is proposed and the NSGA-Il algorithm is applied to obtain good approximate Pareto fronts. Extensive computational experiments on randomly generated data and a real-world case study are conducted. The result shows the efficiency and effectiveness of the proposed methods. (C) 2018 Elsevier Ltd. All rights reserved.

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