Solving a hybrid jobshop scheduling problem with space constraints and reentrant processesby using an improved hybrid genetic algorithm: a case study
In this paper, several concepts and techniques of a job shop manufacturing system are adjusted and utilized in a real-world pipe spool fabrication shop scheduling problem. In the present study, an improved hybrid genetic algorithm is developed to create a feasible and active schedule for the operati...
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主要な著者: | Moghadam, A. M., Wong, K. Y., Piroozfard, H. |
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フォーマット: | 論文 |
出版事項: |
University of Cincinnati
2017
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オンライン・アクセス: | http://eprints.utm.my/id/eprint/77148/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041473194&partnerID=40&md5=99033bee3207deea45264a3f4eb7a0bb |
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