期刊
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 57, 期 1, 页码 48-60出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2018.1457812
关键词
scheduling; makespan; metaheuristics; distributed mixed no-idle flowshop; cloud theory-based iterated greedy algorithm
资金
- Ministry of Science and Technology of the Republic of China, Taiwan [MOST106-2221-E-027-085]
The rapid growth of distributed manufacturing in industry today has recently attracted significant research attention that has focused on distributed scheduling problems. This work studied the distributed mixed no-idle flowshop scheduling problem using makespan as an optimality criterion. To the best of the authors' knowledge, this is the first paper to study the multi-flowshop extension in which each flowshop has mixed no-idle constraints. A novel cloud theory-based iterated greedy (CTBIG) algorithm was proposed for solving the problem. Computational experiments conducted on a set of test instances revealed that the proposed CTBIG algorithm significantly outperformed classic iterated greedy algorithms.
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