王建军

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Research on m-machine flow shop scheduling with truncated learning effects

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论文类型:期刊论文

发表时间:2019-05-01

发表刊物:INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH

收录刊物:SCIE、SSCI、Scopus

文献类型:J

卷号:26

期号:3

页面范围:1135-1151

ISSN号:0969-6016

关键字:scheduling; branch-and-bound algorithm; heuristic algorithm; learning effect; flow shop

摘要:The permutation flow shop problems with truncated exponential sum of logarithm processing times based and position-based learning effects are considered in this study. The objective is to minimize makespan and total weighted completion time, respectively. Several heuristics and a branch-and-bound algorithm are proposed in this paper. The tight worst-case bounds of some simple heuristics are also given. Numerical experiments are tested to evaluate the performance of the heuristics and branch-and-bound algorithm.

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