期刊
COMPUTERS & OPERATIONS RESEARCH
卷 73, 期 -, 页码 56-66出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cor.2016.03.009
关键词
Flexible job shop problem; Multi-objective; Makespan; Stability; Machine Breakdown; Simulation
This paper addresses the stable scheduling of multi-objective problem in flexible job shop scheduling with random machine breakdown. Recently, numerous studies are conducted about robust scheduling; however, implementing a scheme which prevents a tremendous change between scheduling and after machine breakdown (preschedule and realized schedule, respectively) can be critical for utilizing available resources. The stability of the schedule can be detected by a slight deviation of start and completion time of each job between preschedule and realized schedule under the uncertain conditions. In this paper, two evolutionary algorithms, NSGA-II and NRGA, are applied to combine the improvement of makespan and stability simultaneously. A simulation approach is used to evaluate the state and condition of the machine breakdowns. After the introduction of the evaluation criteria, the proposed algorithms are tested on a variety of benchmark problems. Finally, through performing statistical tests, the algorithm with higher performance in each criterion is identified. (C) 2016 Elsevier Ltd. All rights reserved.
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