Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model

It can be deduced from previous studies that there exists a research gap in assembly line sequencing optimization model for mixed-model production lines. In particular, there is a lack of studies which focus on the integration between job shop and assembly lines using fuzzy techniques. Hence, this p...

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Main Authors: Tahriri, Farzad, Siti Zawiah, Md Dawal, Zahari, Taha
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6112/
http://umpir.ump.edu.my/id/eprint/6112/1/Multiobjective_Fuzzy_Mixed_Assembly_Line_Sequencing_Optimization_Model.pdf
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author Tahriri, Farzad
Siti Zawiah, Md Dawal
Zahari, Taha
author_facet Tahriri, Farzad
Siti Zawiah, Md Dawal
Zahari, Taha
author_sort Tahriri, Farzad
building UMP Institutional Repository
collection Online Access
description It can be deduced from previous studies that there exists a research gap in assembly line sequencing optimization model for mixed-model production lines. In particular, there is a lack of studies which focus on the integration between job shop and assembly lines using fuzzy techniques. Hence, this paper is aimed at addressing the multiobjective mixed-model assembly line sequencing problem by integrating job shop and assembly production lines for factories with modular layouts. The primary goal is to minimize the make-span, setup time, and cost simultaneously in mixed-model assembly lines. Such conflicting goals arise when switching between different products. A genetic algorithm (GA) approach is used to solve this problem, in which trapezoidal fuzzy numbers are implemented for variables such as operation and travelling time in order to generate results with higher accuracy and representative of real-case data.
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institution Universiti Malaysia Pahang
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publishDate 2014
publisher Hindawi Publishing Corporation
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spelling ump-61122018-01-22T02:54:08Z http://umpir.ump.edu.my/id/eprint/6112/ Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model Tahriri, Farzad Siti Zawiah, Md Dawal Zahari, Taha TJ Mechanical engineering and machinery It can be deduced from previous studies that there exists a research gap in assembly line sequencing optimization model for mixed-model production lines. In particular, there is a lack of studies which focus on the integration between job shop and assembly lines using fuzzy techniques. Hence, this paper is aimed at addressing the multiobjective mixed-model assembly line sequencing problem by integrating job shop and assembly production lines for factories with modular layouts. The primary goal is to minimize the make-span, setup time, and cost simultaneously in mixed-model assembly lines. Such conflicting goals arise when switching between different products. A genetic algorithm (GA) approach is used to solve this problem, in which trapezoidal fuzzy numbers are implemented for variables such as operation and travelling time in order to generate results with higher accuracy and representative of real-case data. Hindawi Publishing Corporation 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6112/1/Multiobjective_Fuzzy_Mixed_Assembly_Line_Sequencing_Optimization_Model.pdf Tahriri, Farzad and Siti Zawiah, Md Dawal and Zahari, Taha (2014) Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model. Journal of Applied Mathematics. pp. 1-19. ISSN 1110-757X (print); 1687-0042 (online). (Published) http://dx.doi.org/10.1155/2014/179085 DOI: 10.1155/2014/179085
spellingShingle TJ Mechanical engineering and machinery
Tahriri, Farzad
Siti Zawiah, Md Dawal
Zahari, Taha
Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model
title Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model
title_full Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model
title_fullStr Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model
title_full_unstemmed Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model
title_short Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model
title_sort multiobjective fuzzy mixed assembly line sequencing optimization model
topic TJ Mechanical engineering and machinery
url http://umpir.ump.edu.my/id/eprint/6112/
http://umpir.ump.edu.my/id/eprint/6112/
http://umpir.ump.edu.my/id/eprint/6112/
http://umpir.ump.edu.my/id/eprint/6112/1/Multiobjective_Fuzzy_Mixed_Assembly_Line_Sequencing_Optimization_Model.pdf