A hybrid metaheuristic model for job shop rescheduling problem
This paper discusses on developing a hybrid metaheuristic model to tackle the problem of changing environment in the job shop scheduling problem.The main idea is to use the model to develop building blocks of partial schedules that can be used to provide backup solutions when disturbances occur duri...
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my.uum.repo.69772013-10-27T01:39:01Z http://repo.uum.edu.my/6977/ A hybrid metaheuristic model for job shop rescheduling problem Mohamed Din, Aniza Ku-Mahamud, Ku Ruhana Yusof, Yuhanis Mahmuddin, Massudi T Technology (General) This paper discusses on developing a hybrid metaheuristic model to tackle the problem of changing environment in the job shop scheduling problem.The main idea is to use the model to develop building blocks of partial schedules that can be used to provide backup solutions when disturbances occur during production.Each partial schedule is assigned a fitness value for the selection of final population of best partial schedules.The results of the experiments show an improvement from a previous work. Future work on this study is also discussed. 2012-06-12 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/6977/1/P13_-_AMATHI_2012.pdf Mohamed Din, Aniza and Ku-Mahamud, Ku Ruhana and Yusof, Yuhanis and Mahmuddin, Massudi (2012) A hybrid metaheuristic model for job shop rescheduling problem. In: International Conference on Computer and Information Sciences, 12-14 June 2012, Kuala Lumpur, Malaysia. (Unpublished) |
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T Technology (General) Mohamed Din, Aniza Ku-Mahamud, Ku Ruhana Yusof, Yuhanis Mahmuddin, Massudi A hybrid metaheuristic model for job shop rescheduling problem |
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This paper discusses on developing a hybrid metaheuristic model to tackle the problem of changing environment in the job shop scheduling problem.The main idea is to use the model to develop building blocks of partial schedules that can be used to provide backup solutions when disturbances occur during production.Each partial schedule is assigned a fitness value for the selection of final population of best partial schedules.The results of the experiments show an improvement from a previous work. Future work on this study is also
discussed. |
format |
Conference or Workshop Item |
author |
Mohamed Din, Aniza Ku-Mahamud, Ku Ruhana Yusof, Yuhanis Mahmuddin, Massudi |
author_facet |
Mohamed Din, Aniza Ku-Mahamud, Ku Ruhana Yusof, Yuhanis Mahmuddin, Massudi |
author_sort |
Mohamed Din, Aniza |
title |
A hybrid metaheuristic model for job shop rescheduling problem |
title_short |
A hybrid metaheuristic model for job shop rescheduling problem |
title_full |
A hybrid metaheuristic model for job shop rescheduling problem |
title_fullStr |
A hybrid metaheuristic model for job shop rescheduling problem |
title_full_unstemmed |
A hybrid metaheuristic model for job shop rescheduling problem |
title_sort |
hybrid metaheuristic model for job shop rescheduling problem |
publishDate |
2012 |
url |
http://repo.uum.edu.my/6977/1/P13_-_AMATHI_2012.pdf http://repo.uum.edu.my/6977/ |
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1644279414337306624 |