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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51331

Title: Two-agent Two-machine Flowshop Scheduling with Learning Effects to Minimize the Total Completion Time
Authors: Yau-RenShiau
Ming-ShuaTsai
Wen-ChiungLee
T.C.E.Cheng
Contributors: 國立臺灣海洋大學:海洋文創設計產業學士學位學程
Keywords: Scheduling
Total completion time
Two agent
Two-machine flowshop
Learning effects
Date: 2015-09
Issue Date: 2018-11-22T08:24:43Z
Publisher: Computers and Industrial Engineering
Abstract: Abstract: We study a two-agent scheduling problem in a two-machine permutation flowshop with learning effects. The objective is to minimize the total completion time of the jobs from one agent, given that the maximum tardiness of the jobs from the other agent cannot exceed a bound. We provide a branch-and-bound algorithm for the problem. In addition, we present several genetic algorithms to obtain near-optimal solutions. Computational results indicate that the algorithms perform well in either solving the problem or efficiently generating near-optimal solutions.
Relation: 87 pp.580-589
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51331
Appears in Collections:[海洋文創設計產業學士學位學程(學系)] 期刊論文

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