Minimising makespan in distributed mixed no-idle flowshops
The rapid growth of distributed manufacturing in industry today has recently attracted significant research attention that has focused on distributed scheduling problems. This work studied the distributed mixed no-idle flowshop scheduling problem using makespan as an optimality criterion. To the bes...
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| Veröffentlicht in: | International journal of production research Jg. 57; H. 1; S. 48 - 60 |
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| Sprache: | Englisch |
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Taylor & Francis
02.01.2019
Taylor & Francis LLC |
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| Abstract | The rapid growth of distributed manufacturing in industry today has recently attracted significant research attention that has focused on distributed scheduling problems. This work studied the distributed mixed no-idle flowshop scheduling problem using makespan as an optimality criterion. To the best of the authors' knowledge, this is the first paper to study the multi-flowshop extension in which each flowshop has mixed no-idle constraints. A novel cloud theory-based iterated greedy (CTBIG) algorithm was proposed for solving the problem. Computational experiments conducted on a set of test instances revealed that the proposed CTBIG algorithm significantly outperformed classic iterated greedy algorithms. |
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| AbstractList | The rapid growth of distributed manufacturing in industry today has recently attracted significant research attention that has focused on distributed scheduling problems. This work studied the distributed mixed no-idle flowshop scheduling problem using makespan as an optimality criterion. To the best of the authors' knowledge, this is the first paper to study the multi-flowshop extension in which each flowshop has mixed no-idle constraints. A novel cloud theory-based iterated greedy (CTBIG) algorithm was proposed for solving the problem. Computational experiments conducted on a set of test instances revealed that the proposed CTBIG algorithm significantly outperformed classic iterated greedy algorithms. |
| Author | Lu, Hsiao-Shan Chen, Hsia-Hsiang Cheng, Chen-Yang Ying, Kuo-Ching |
| Author_xml | – sequence: 1 givenname: Chen-Yang surname: Cheng fullname: Cheng, Chen-Yang organization: Department of Industrial Engineering and Management, National Taipei University of Technology – sequence: 2 givenname: Kuo-Ching orcidid: 0000-0002-9549-5290 surname: Ying fullname: Ying, Kuo-Ching email: kcying@ntut.edu.tw organization: Department of Industrial Engineering and Management, National Taipei University of Technology – sequence: 3 givenname: Hsia-Hsiang surname: Chen fullname: Chen, Hsia-Hsiang organization: Department of Industrial Engineering and Management, National Taipei University of Technology – sequence: 4 givenname: Hsiao-Shan surname: Lu fullname: Lu, Hsiao-Shan organization: Nanya Technology Corporation |
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| SubjectTerms | cloud theory-based iterated greedy algorithm distributed mixed no-idle flowshop Greedy algorithms Job shops makespan metaheuristics Optimality criteria Production scheduling Scheduling |
| Title | Minimising makespan in distributed mixed no-idle flowshops |
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