A Mathematical Model and a Solution Method for Hybrid Flow Shop Scheduling

This paper studies the hybrid flow shop scheduling where the optimization criterion is the minimization of total tardiness. First, the problem is formulated as a mixed integer linear programming model. Then, to solve large problem sizes, an artificial immune algorithm hybridized with a simple local...

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Main Authors: Esmaeil Najafi, Bahman Naderi, Hassan Sadeghi, Mehdi Yazdani
Format: Article
Language:English
Published: Islamic Azad University, Qazvin Branch 2012-03-01
Series:Journal of Optimization in Industrial Engineering
Subjects:
Online Access:http://www.qjie.ir/article_115_ed4deff4ed179dd35f0892b228fc9352.pdf
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author Esmaeil Najafi
Bahman Naderi
Hassan Sadeghi
Mehdi Yazdani
author_facet Esmaeil Najafi
Bahman Naderi
Hassan Sadeghi
Mehdi Yazdani
author_sort Esmaeil Najafi
collection DOAJ
description This paper studies the hybrid flow shop scheduling where the optimization criterion is the minimization of total tardiness. First, the problem is formulated as a mixed integer linear programming model. Then, to solve large problem sizes, an artificial immune algorithm hybridized with a simple local search in form of simulated annealing is proposed. Two experiments are carried out to evaluate the model<br />and the algorithm. In the first one, the general performance of the model and the proposed algorithm is experimented. In the next one, the presented algorithm is compared against some other algorithms. The results support high performance of the proposed algorithm.
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spelling doaj.art-aa0856c497ce41c9a5cb4945f8a73ea22022-12-22T00:14:58ZengIslamic Azad University, Qazvin BranchJournal of Optimization in Industrial Engineering2251-99042423-39352012-03-015106572115A Mathematical Model and a Solution Method for Hybrid Flow Shop SchedulingEsmaeil Najafi0Bahman Naderi1Hassan Sadeghi2Mehdi Yazdani3Department of industrial engineering, Science &amp; Research Branch, Islamic Azad University, Tehran, IranDepartment of Industrial Engineering, Faculty of Engineering, University of Kharazmi, Karaj, IranYoung Researchers Club, Islamic Azad University , Qazvin Branch, Qazvin, IranDepartment of industrial engineering, Qazvin branch, Islamic Azad University, Qazvin, IranThis paper studies the hybrid flow shop scheduling where the optimization criterion is the minimization of total tardiness. First, the problem is formulated as a mixed integer linear programming model. Then, to solve large problem sizes, an artificial immune algorithm hybridized with a simple local search in form of simulated annealing is proposed. Two experiments are carried out to evaluate the model<br />and the algorithm. In the first one, the general performance of the model and the proposed algorithm is experimented. In the next one, the presented algorithm is compared against some other algorithms. The results support high performance of the proposed algorithm.http://www.qjie.ir/article_115_ed4deff4ed179dd35f0892b228fc9352.pdfSchedulingHybrid flow shopMathematical modelMixed integer linear programArtificial immune algorithm
spellingShingle Esmaeil Najafi
Bahman Naderi
Hassan Sadeghi
Mehdi Yazdani
A Mathematical Model and a Solution Method for Hybrid Flow Shop Scheduling
Journal of Optimization in Industrial Engineering
Scheduling
Hybrid flow shop
Mathematical model
Mixed integer linear program
Artificial immune algorithm
title A Mathematical Model and a Solution Method for Hybrid Flow Shop Scheduling
title_full A Mathematical Model and a Solution Method for Hybrid Flow Shop Scheduling
title_fullStr A Mathematical Model and a Solution Method for Hybrid Flow Shop Scheduling
title_full_unstemmed A Mathematical Model and a Solution Method for Hybrid Flow Shop Scheduling
title_short A Mathematical Model and a Solution Method for Hybrid Flow Shop Scheduling
title_sort mathematical model and a solution method for hybrid flow shop scheduling
topic Scheduling
Hybrid flow shop
Mathematical model
Mixed integer linear program
Artificial immune algorithm
url http://www.qjie.ir/article_115_ed4deff4ed179dd35f0892b228fc9352.pdf
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