Method of job shop scheduling considering reworking and reprocessing based on proactive approach
Author:
Affiliation:
1. Osaka Metropolitan University
2. Currently, YANMAR Co., Ltd.
3. Osaka University
Publisher
Japan Society of Mechanical Engineers
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Link
https://www.jstage.jst.go.jp/article/jamdsm/17/1/17_2023jamdsm0013/_pdf
Reference19 articles.
1. Abdelmaguid, T. F., Permutation-induced acyclic networks for the job shop scheduling problem, Applied Mathematical Modelling, Vol. 33, Issue 3 (2009), pp. 1560-1572.
2. Bean, J. C., Genetic Algorithms and Random Keys for Sequencing and Optimization, ORSA Journal on Computing, Vol. 6, Issue 2 (1994), pp. 154-160.
3. Blackstone, J. H., Phillips, D. T. and Hogg, G. L., A state-of-the-art survey of dispatching rules for manufacturing job shop operations, International Journal of Production Research, Vol. 20, Issue 1 (1982), pp. 27-45.
4. Błażewicz, J., Pesch, E. and Sterna, M., The disjunctive graph machine representation of the job shop scheduling problem, European Journal of Operational Research, Vol. 127, Issue 2 (2000), pp. 317-331.
5. Chaari, T., Chaabane, S., Aissani, N. and Trentesaux, D., Scheduling under uncertainty: Survey and research directions, Proceedings of 2014 International Conference on Advanced Logistics and Transport (2014), pp. 229-234.
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1. An Improved Method of Job Shop Scheduling Considering Reworking and Reprocessing Based on Proactive Approach;IFIP Advances in Information and Communication Technology;2023
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