Recent trend in mixed-model assembly line balancing optimization using soft computing approaches

Purpose - This paper aims to review and discuss four aspects of mixed-model assembly line balancing (MMALB) problem mainly on the optimization angle. MMALB is a non-deterministic polynomial-time hard problem which requires an effective algorithm for solution. This problem has attracted a number of r...

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Main Authors:	Razali, Muhamad Magffierah, Kamarudin, N.H., M. F. F., Ab Rashid, Ahmad Nasser, Mohd Rose
Format:	Article
Language:	English
Published:	Emerald Group Publishing Ltd. 2019
Subjects:	QA76 Computer software TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/25650/ http://umpir.ump.edu.my/id/eprint/25650/ http://umpir.ump.edu.my/id/eprint/25650/1/2019%20MMALB%20Review%20EC-05-2018-0205.pdf

id	ump-25650
recordtype	eprints
spelling	ump-256502019-11-21T02:28:08Z http://umpir.ump.edu.my/id/eprint/25650/ Recent trend in mixed-model assembly line balancing optimization using soft computing approaches Razali, Muhamad Magffierah Kamarudin, N.H. M. F. F., Ab Rashid Ahmad Nasser, Mohd Rose QA76 Computer software TS Manufactures Purpose - This paper aims to review and discuss four aspects of mixed-model assembly line balancing (MMALB) problem mainly on the optimization angle. MMALB is a non-deterministic polynomial-time hard problem which requires an effective algorithm for solution. This problem has attracted a number of research fields: manufacturing, mathematics and computer science. Design/methodology/approach - This paper review 59 published research works on MMALB from indexed journal. The review includes MMALB problem varieties, optimization algorithm, objective function and constraints in the problem. Findings - Based on research trend, this topic is still growing with the highest publication number observed in 2016 and 2017. The review indicated that the future research direction should focus on human factors and sustainable issues in the problem modeling. As the assembly cost becomes crucial, resource utilization in the assembly line should also be considered. Apart from that, the growth of new optimization algorithms is predicted to influence the MMALB optimization, which currently relies on well-established algorithms. Originality/value - The originality of this paper is on the research trend in MMALB. It provides the future direction for the researchers in this field. Emerald Group Publishing Ltd. 2019-03-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25650/1/2019%20MMALB%20Review%20EC-05-2018-0205.pdf Razali, Muhamad Magffierah and Kamarudin, N.H. and M. F. F., Ab Rashid and Ahmad Nasser, Mohd Rose (2019) Recent trend in mixed-model assembly line balancing optimization using soft computing approaches. Engineering Computations, 36 (2). pp. 622-645. ISSN 0264-4401 https://doi.org/10.1108/EC-05-2018-0205
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software TS Manufactures
spellingShingle	QA76 Computer software TS Manufactures Razali, Muhamad Magffierah Kamarudin, N.H. M. F. F., Ab Rashid Ahmad Nasser, Mohd Rose Recent trend in mixed-model assembly line balancing optimization using soft computing approaches
description	Purpose - This paper aims to review and discuss four aspects of mixed-model assembly line balancing (MMALB) problem mainly on the optimization angle. MMALB is a non-deterministic polynomial-time hard problem which requires an effective algorithm for solution. This problem has attracted a number of research fields: manufacturing, mathematics and computer science. Design/methodology/approach - This paper review 59 published research works on MMALB from indexed journal. The review includes MMALB problem varieties, optimization algorithm, objective function and constraints in the problem. Findings - Based on research trend, this topic is still growing with the highest publication number observed in 2016 and 2017. The review indicated that the future research direction should focus on human factors and sustainable issues in the problem modeling. As the assembly cost becomes crucial, resource utilization in the assembly line should also be considered. Apart from that, the growth of new optimization algorithms is predicted to influence the MMALB optimization, which currently relies on well-established algorithms. Originality/value - The originality of this paper is on the research trend in MMALB. It provides the future direction for the researchers in this field.
format	Article
author	Razali, Muhamad Magffierah Kamarudin, N.H. M. F. F., Ab Rashid Ahmad Nasser, Mohd Rose
author_facet	Razali, Muhamad Magffierah Kamarudin, N.H. M. F. F., Ab Rashid Ahmad Nasser, Mohd Rose
author_sort	Razali, Muhamad Magffierah
title	Recent trend in mixed-model assembly line balancing optimization using soft computing approaches
title_short	Recent trend in mixed-model assembly line balancing optimization using soft computing approaches
title_full	Recent trend in mixed-model assembly line balancing optimization using soft computing approaches
title_fullStr	Recent trend in mixed-model assembly line balancing optimization using soft computing approaches
title_full_unstemmed	Recent trend in mixed-model assembly line balancing optimization using soft computing approaches
title_sort	recent trend in mixed-model assembly line balancing optimization using soft computing approaches
publisher	Emerald Group Publishing Ltd.
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/25650/ http://umpir.ump.edu.my/id/eprint/25650/ http://umpir.ump.edu.my/id/eprint/25650/1/2019%20MMALB%20Review%20EC-05-2018-0205.pdf
first_indexed	2023-09-18T22:39:30Z
last_indexed	2023-09-18T22:39:30Z
_version_	1777416820027817984

Recent trend in mixed-model assembly line balancing optimization using soft computing approaches

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