期刊
COMPUTERS & OPERATIONS RESEARCH
卷 74, 期 -, 页码 31-41出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cor.2016.04.023
关键词
Job shop scheduling; Parallel machine; Blocking; No-wait; Limited-buffer; Mixed integer programming; Heuristics
The neglect of buffering requirements in a classical job shop scheduling system often results in inapplicability in many complex real-world applications. To overcome this inapplicability, a new and more generalised scheduling problem is proposed under different stage-dependent buffering requirements and parallel use of identical-function machine units at each processing stage in job shop environments. The problem is formulated as a mixed integer programming model that can be exactly solved by ILOG-CPEX for small-size instances. Moreover, a hybrid metaheuristic algorithm embedded with a state-of-the-art constructive algorithm is developed. The computational experiment shows that the proposed metaheuristic can efficiently solve large-size instances. The result analysis indicates that the proposed approach can provide better configuration of real-world scheduling systems. The proposed DBPMJSS methodology has a potential to analyse, model and solve many industrial systems with the requirements of buffering conditions, particularly for manufacturing, railway, healthcare and mining industries. (C) 2016 Elsevier Ltd. All rights reserved.
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