A NEW APPROACH TO JOB SHOP-SCHEDULING PROBLEM

In this paper, single-processors job shop scheduling problems are solved by a heuristic algorithm based on the hybrid of priority dispatching rules according to an ant colony optimization algorithm. The objective function is to minimize the makespan i.e. total completion time , in which a simultanou...

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Main Author: Ramezanali Mahdavinejad
Format: Article
Language:English
Published: Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia 2007-03-01
Series:International Journal for Quality Research
Subjects:
Online Access:http://www.ijqr.net/journal/v1-n1/9.pdf
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author Ramezanali Mahdavinejad
author_facet Ramezanali Mahdavinejad
author_sort Ramezanali Mahdavinejad
collection DOAJ
description In this paper, single-processors job shop scheduling problems are solved by a heuristic algorithm based on the hybrid of priority dispatching rules according to an ant colony optimization algorithm. The objective function is to minimize the makespan i.e. total completion time , in which a simultanous presence of various kinds of ferons is allowed. The process of finding the best solution will be improved by using the suitable hybrid of priority dispatching rules. Ant colony optimization algorithm, not only promote the ability of this proposed algorithm, but also decreases the total working time because of decreasing in setup times and modifying the working production line. By solving some problems as samples (i.e. Fisher's & Thomson's problems), this algorithm is compared with the others. The results show that when the size of the problem becomes larger the deviation from lower limit increases, but its rate decreases with the size of the problems, so that it reaches to its limit.
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spelling doaj.art-b34bbc1143084d0f98d24a3e40f4a33d2022-12-21T21:30:41ZengCenter for Quality, Faculty of Engineering, University of Kragujevac, SerbiaInternational Journal for Quality Research1800-64501800-74732007-03-01117986A NEW APPROACH TO JOB SHOP-SCHEDULING PROBLEMRamezanali Mahdavinejad0University of Tehran, IranIn this paper, single-processors job shop scheduling problems are solved by a heuristic algorithm based on the hybrid of priority dispatching rules according to an ant colony optimization algorithm. The objective function is to minimize the makespan i.e. total completion time , in which a simultanous presence of various kinds of ferons is allowed. The process of finding the best solution will be improved by using the suitable hybrid of priority dispatching rules. Ant colony optimization algorithm, not only promote the ability of this proposed algorithm, but also decreases the total working time because of decreasing in setup times and modifying the working production line. By solving some problems as samples (i.e. Fisher's & Thomson's problems), this algorithm is compared with the others. The results show that when the size of the problem becomes larger the deviation from lower limit increases, but its rate decreases with the size of the problems, so that it reaches to its limit.http://www.ijqr.net/journal/v1-n1/9.pdfJob shops schedulingPriority dispatching rulesMakespanHybrid heuristic algorithm
spellingShingle Ramezanali Mahdavinejad
A NEW APPROACH TO JOB SHOP-SCHEDULING PROBLEM
International Journal for Quality Research
Job shops scheduling
Priority dispatching rules
Makespan
Hybrid heuristic algorithm
title A NEW APPROACH TO JOB SHOP-SCHEDULING PROBLEM
title_full A NEW APPROACH TO JOB SHOP-SCHEDULING PROBLEM
title_fullStr A NEW APPROACH TO JOB SHOP-SCHEDULING PROBLEM
title_full_unstemmed A NEW APPROACH TO JOB SHOP-SCHEDULING PROBLEM
title_short A NEW APPROACH TO JOB SHOP-SCHEDULING PROBLEM
title_sort new approach to job shop scheduling problem
topic Job shops scheduling
Priority dispatching rules
Makespan
Hybrid heuristic algorithm
url http://www.ijqr.net/journal/v1-n1/9.pdf
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