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:	TJ Mechanical engineering and machinery
Online Access:	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

id	ump-6112
recordtype	eprints
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) http://dx.doi.org/10.1155/2014/179085 DOI: 10.1155/2014/179085
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Tahriri, Farzad Siti Zawiah, Md Dawal Zahari, Taha Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model
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.
format	Article
author	Tahriri, Farzad Siti Zawiah, Md Dawal Zahari, Taha
author_facet	Tahriri, Farzad Siti Zawiah, Md Dawal Zahari, Taha
author_sort	Tahriri, Farzad
title	Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model
title_short	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_sort	multiobjective fuzzy mixed assembly line sequencing optimization model
publisher	Hindawi Publishing Corporation
publishDate	2014
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
first_indexed	2023-09-18T22:01:35Z
last_indexed	2023-09-18T22:01:35Z
_version_	1777414434700918784

Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model

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