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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Main Authors: Mohamed Din, Aniza, Ku-Mahamud, Ku Ruhana, Yusof, Yuhanis, Mahmuddin, Massudi
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/6977/1/P13_-_AMATHI_2012.pdf
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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
collection UUM
description 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.
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spelling uum-69772013-10-27T01:39:01Z https://repo.uum.edu.my/id/eprint/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 https://repo.uum.edu.my/id/eprint/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)
spellingShingle T Technology (General)
Mohamed Din, Aniza
Ku-Mahamud, Ku Ruhana
Yusof, Yuhanis
Mahmuddin, Massudi
A hybrid metaheuristic model for job shop rescheduling problem
title 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_short A hybrid metaheuristic model for job shop rescheduling problem
title_sort hybrid metaheuristic model for job shop rescheduling problem
topic T Technology (General)
url https://repo.uum.edu.my/id/eprint/6977/1/P13_-_AMATHI_2012.pdf
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