Robust scheduling for multi-objective flexible job-shop problems with flexible workdays
This study determines a robust schedule for a flexible job-shop scheduling problem with flexible workdays. The performance criteria considered in this study are tardiness, overtime and robustness. Furthermore, the problem is addressed in a Pareto manner, and a set of Pareto-optimal solutions is dete...
Ausführliche Beschreibung
Autor*in: |
Zhang, Jiae [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2016 |
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Rechteinformationen: |
Nutzungsrecht: © 2016 Taylor & Francis 2016 |
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Schlagwörter: |
goal-guided multi-objective search |
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Übergeordnetes Werk: |
Enthalten in: Engineering optimization - London : Gordon & Breach, 1974, 48(2016), 11, Seite 1973-1989 |
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Übergeordnetes Werk: |
volume:48 ; year:2016 ; number:11 ; pages:1973-1989 |
Links: |
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DOI / URN: |
10.1080/0305215X.2016.1145216 |
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OLC1984058207 |
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10.1080/0305215X.2016.1145216 doi PQ20170301 (DE-627)OLC1984058207 (DE-599)GBVOLC1984058207 (PRQ)c1908-ef4fa57bbe278592699809e902e180a6f812e6a348b0362f835763f35eb74ccc0 (KEY)0011445620160000048001101973robustschedulingformultiobjectiveflexiblejobshoppr DE-627 ger DE-627 rakwb eng 690 DE-600 50.03 bkl Zhang, Jiae verfasserin aut Robust scheduling for multi-objective flexible job-shop problems with flexible workdays 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This study determines a robust schedule for a flexible job-shop scheduling problem with flexible workdays. The performance criteria considered in this study are tardiness, overtime and robustness. Furthermore, the problem is addressed in a Pareto manner, and a set of Pareto-optimal solutions is determined for this purpose. In consideration of all the aforementioned features, a goal-guided neighbourhood function is proposed based on efficient problem-dependent move-filtering methods. Two metaheuristic algorithms, named goal-guided multi-objective tabu search and goal-guided multi-objective hybrid search, are proposed in this work based on this neighbourhood function. The effectiveness of these approaches is demonstrated via empirical studies. Nutzungsrecht: © 2016 Taylor & Francis 2016 goal-guided multi-objective search flexible workdays multi-objective flexible job shop robust scheduling Production scheduling Job shops Yang, Jianjun oth Zhou, Yong oth Enthalten in Engineering optimization London : Gordon & Breach, 1974 48(2016), 11, Seite 1973-1989 (DE-627)129422339 (DE-600)190503-X (DE-576)014797917 0305-215X nnns volume:48 year:2016 number:11 pages:1973-1989 http://dx.doi.org/10.1080/0305215X.2016.1145216 Volltext http://www.tandfonline.com/doi/abs/10.1080/0305215X.2016.1145216 http://search.proquest.com/docview/1815374878 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 50.03 AVZ AR 48 2016 11 1973-1989 |
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10.1080/0305215X.2016.1145216 doi PQ20170301 (DE-627)OLC1984058207 (DE-599)GBVOLC1984058207 (PRQ)c1908-ef4fa57bbe278592699809e902e180a6f812e6a348b0362f835763f35eb74ccc0 (KEY)0011445620160000048001101973robustschedulingformultiobjectiveflexiblejobshoppr DE-627 ger DE-627 rakwb eng 690 DE-600 50.03 bkl Zhang, Jiae verfasserin aut Robust scheduling for multi-objective flexible job-shop problems with flexible workdays 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This study determines a robust schedule for a flexible job-shop scheduling problem with flexible workdays. The performance criteria considered in this study are tardiness, overtime and robustness. Furthermore, the problem is addressed in a Pareto manner, and a set of Pareto-optimal solutions is determined for this purpose. In consideration of all the aforementioned features, a goal-guided neighbourhood function is proposed based on efficient problem-dependent move-filtering methods. Two metaheuristic algorithms, named goal-guided multi-objective tabu search and goal-guided multi-objective hybrid search, are proposed in this work based on this neighbourhood function. The effectiveness of these approaches is demonstrated via empirical studies. Nutzungsrecht: © 2016 Taylor & Francis 2016 goal-guided multi-objective search flexible workdays multi-objective flexible job shop robust scheduling Production scheduling Job shops Yang, Jianjun oth Zhou, Yong oth Enthalten in Engineering optimization London : Gordon & Breach, 1974 48(2016), 11, Seite 1973-1989 (DE-627)129422339 (DE-600)190503-X (DE-576)014797917 0305-215X nnns volume:48 year:2016 number:11 pages:1973-1989 http://dx.doi.org/10.1080/0305215X.2016.1145216 Volltext http://www.tandfonline.com/doi/abs/10.1080/0305215X.2016.1145216 http://search.proquest.com/docview/1815374878 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 50.03 AVZ AR 48 2016 11 1973-1989 |
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10.1080/0305215X.2016.1145216 doi PQ20170301 (DE-627)OLC1984058207 (DE-599)GBVOLC1984058207 (PRQ)c1908-ef4fa57bbe278592699809e902e180a6f812e6a348b0362f835763f35eb74ccc0 (KEY)0011445620160000048001101973robustschedulingformultiobjectiveflexiblejobshoppr DE-627 ger DE-627 rakwb eng 690 DE-600 50.03 bkl Zhang, Jiae verfasserin aut Robust scheduling for multi-objective flexible job-shop problems with flexible workdays 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This study determines a robust schedule for a flexible job-shop scheduling problem with flexible workdays. The performance criteria considered in this study are tardiness, overtime and robustness. Furthermore, the problem is addressed in a Pareto manner, and a set of Pareto-optimal solutions is determined for this purpose. In consideration of all the aforementioned features, a goal-guided neighbourhood function is proposed based on efficient problem-dependent move-filtering methods. Two metaheuristic algorithms, named goal-guided multi-objective tabu search and goal-guided multi-objective hybrid search, are proposed in this work based on this neighbourhood function. The effectiveness of these approaches is demonstrated via empirical studies. Nutzungsrecht: © 2016 Taylor & Francis 2016 goal-guided multi-objective search flexible workdays multi-objective flexible job shop robust scheduling Production scheduling Job shops Yang, Jianjun oth Zhou, Yong oth Enthalten in Engineering optimization London : Gordon & Breach, 1974 48(2016), 11, Seite 1973-1989 (DE-627)129422339 (DE-600)190503-X (DE-576)014797917 0305-215X nnns volume:48 year:2016 number:11 pages:1973-1989 http://dx.doi.org/10.1080/0305215X.2016.1145216 Volltext http://www.tandfonline.com/doi/abs/10.1080/0305215X.2016.1145216 http://search.proquest.com/docview/1815374878 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 50.03 AVZ AR 48 2016 11 1973-1989 |
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10.1080/0305215X.2016.1145216 doi PQ20170301 (DE-627)OLC1984058207 (DE-599)GBVOLC1984058207 (PRQ)c1908-ef4fa57bbe278592699809e902e180a6f812e6a348b0362f835763f35eb74ccc0 (KEY)0011445620160000048001101973robustschedulingformultiobjectiveflexiblejobshoppr DE-627 ger DE-627 rakwb eng 690 DE-600 50.03 bkl Zhang, Jiae verfasserin aut Robust scheduling for multi-objective flexible job-shop problems with flexible workdays 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This study determines a robust schedule for a flexible job-shop scheduling problem with flexible workdays. The performance criteria considered in this study are tardiness, overtime and robustness. Furthermore, the problem is addressed in a Pareto manner, and a set of Pareto-optimal solutions is determined for this purpose. In consideration of all the aforementioned features, a goal-guided neighbourhood function is proposed based on efficient problem-dependent move-filtering methods. Two metaheuristic algorithms, named goal-guided multi-objective tabu search and goal-guided multi-objective hybrid search, are proposed in this work based on this neighbourhood function. The effectiveness of these approaches is demonstrated via empirical studies. Nutzungsrecht: © 2016 Taylor & Francis 2016 goal-guided multi-objective search flexible workdays multi-objective flexible job shop robust scheduling Production scheduling Job shops Yang, Jianjun oth Zhou, Yong oth Enthalten in Engineering optimization London : Gordon & Breach, 1974 48(2016), 11, Seite 1973-1989 (DE-627)129422339 (DE-600)190503-X (DE-576)014797917 0305-215X nnns volume:48 year:2016 number:11 pages:1973-1989 http://dx.doi.org/10.1080/0305215X.2016.1145216 Volltext http://www.tandfonline.com/doi/abs/10.1080/0305215X.2016.1145216 http://search.proquest.com/docview/1815374878 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 50.03 AVZ AR 48 2016 11 1973-1989 |
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10.1080/0305215X.2016.1145216 doi PQ20170301 (DE-627)OLC1984058207 (DE-599)GBVOLC1984058207 (PRQ)c1908-ef4fa57bbe278592699809e902e180a6f812e6a348b0362f835763f35eb74ccc0 (KEY)0011445620160000048001101973robustschedulingformultiobjectiveflexiblejobshoppr DE-627 ger DE-627 rakwb eng 690 DE-600 50.03 bkl Zhang, Jiae verfasserin aut Robust scheduling for multi-objective flexible job-shop problems with flexible workdays 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This study determines a robust schedule for a flexible job-shop scheduling problem with flexible workdays. The performance criteria considered in this study are tardiness, overtime and robustness. Furthermore, the problem is addressed in a Pareto manner, and a set of Pareto-optimal solutions is determined for this purpose. In consideration of all the aforementioned features, a goal-guided neighbourhood function is proposed based on efficient problem-dependent move-filtering methods. Two metaheuristic algorithms, named goal-guided multi-objective tabu search and goal-guided multi-objective hybrid search, are proposed in this work based on this neighbourhood function. The effectiveness of these approaches is demonstrated via empirical studies. Nutzungsrecht: © 2016 Taylor & Francis 2016 goal-guided multi-objective search flexible workdays multi-objective flexible job shop robust scheduling Production scheduling Job shops Yang, Jianjun oth Zhou, Yong oth Enthalten in Engineering optimization London : Gordon & Breach, 1974 48(2016), 11, Seite 1973-1989 (DE-627)129422339 (DE-600)190503-X (DE-576)014797917 0305-215X nnns volume:48 year:2016 number:11 pages:1973-1989 http://dx.doi.org/10.1080/0305215X.2016.1145216 Volltext http://www.tandfonline.com/doi/abs/10.1080/0305215X.2016.1145216 http://search.proquest.com/docview/1815374878 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 50.03 AVZ AR 48 2016 11 1973-1989 |
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abstract |
This study determines a robust schedule for a flexible job-shop scheduling problem with flexible workdays. The performance criteria considered in this study are tardiness, overtime and robustness. Furthermore, the problem is addressed in a Pareto manner, and a set of Pareto-optimal solutions is determined for this purpose. In consideration of all the aforementioned features, a goal-guided neighbourhood function is proposed based on efficient problem-dependent move-filtering methods. Two metaheuristic algorithms, named goal-guided multi-objective tabu search and goal-guided multi-objective hybrid search, are proposed in this work based on this neighbourhood function. The effectiveness of these approaches is demonstrated via empirical studies. |
abstractGer |
This study determines a robust schedule for a flexible job-shop scheduling problem with flexible workdays. The performance criteria considered in this study are tardiness, overtime and robustness. Furthermore, the problem is addressed in a Pareto manner, and a set of Pareto-optimal solutions is determined for this purpose. In consideration of all the aforementioned features, a goal-guided neighbourhood function is proposed based on efficient problem-dependent move-filtering methods. Two metaheuristic algorithms, named goal-guided multi-objective tabu search and goal-guided multi-objective hybrid search, are proposed in this work based on this neighbourhood function. The effectiveness of these approaches is demonstrated via empirical studies. |
abstract_unstemmed |
This study determines a robust schedule for a flexible job-shop scheduling problem with flexible workdays. The performance criteria considered in this study are tardiness, overtime and robustness. Furthermore, the problem is addressed in a Pareto manner, and a set of Pareto-optimal solutions is determined for this purpose. In consideration of all the aforementioned features, a goal-guided neighbourhood function is proposed based on efficient problem-dependent move-filtering methods. Two metaheuristic algorithms, named goal-guided multi-objective tabu search and goal-guided multi-objective hybrid search, are proposed in this work based on this neighbourhood function. The effectiveness of these approaches is demonstrated via empirical studies. |
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title_short |
Robust scheduling for multi-objective flexible job-shop problems with flexible workdays |
url |
http://dx.doi.org/10.1080/0305215X.2016.1145216 http://www.tandfonline.com/doi/abs/10.1080/0305215X.2016.1145216 http://search.proquest.com/docview/1815374878 |
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Yang, Jianjun Zhou, Yong |
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Yang, Jianjun Zhou, Yong |
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doi_str |
10.1080/0305215X.2016.1145216 |
up_date |
2024-07-03T23:00:25.536Z |
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