Minimization of maximum lateness in an m-machine permutation flow shop with a general exponential learning effect | |
He, Hongyu | |
刊名 | COMPUTERS & INDUSTRIAL ENGINEERING
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2016 | |
关键词 | Scheduling Flow shop Learning effect Branch and bound Heuristic algorithm Nested Partition (NP) WORST-CASE ANALYSIS SINGLE-MACHINE SCHEDULING PROBLEMS LINEAR DETERIORATION 2-MACHINE FLOWSHOP SETUP TIMES MAKESPAN CURVE |
DOI | 10.1016/j.cie.2016.04.010 |
英文摘要 | In this paper, we consider the permutation flow shop scheduling problem with a general exponential learning effect. The objective is to minimize the maximum lateness. A special case that can be solved to optimality by EDD algorithm is provided. To form a hybrid solution framework, several heuristics, a branch-and-bound algorithm and a new Nested-Partition-based solution approach are proposed. Composite bounds and dominance rules are developed to reduce the searching region and to provide guidance on the lower bound. Finally, computational experiments are conducted to evaluate the performance of the algorithms. (C) 2016 Elsevier Ltd. All rights reserved.; SCI(E); EI; ARTICLE; hehongyu@pku.edu.cn; 73-83; 97 |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/437097] ![]() |
专题 | 工学院 |
推荐引用方式 GB/T 7714 | He, Hongyu. Minimization of maximum lateness in an m-machine permutation flow shop with a general exponential learning effect[J]. COMPUTERS & INDUSTRIAL ENGINEERING,2016. |
APA | He, Hongyu.(2016).Minimization of maximum lateness in an m-machine permutation flow shop with a general exponential learning effect.COMPUTERS & INDUSTRIAL ENGINEERING. |
MLA | He, Hongyu."Minimization of maximum lateness in an m-machine permutation flow shop with a general exponential learning effect".COMPUTERS & INDUSTRIAL ENGINEERING (2016). |
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