Optimization of Assembly Sequence Planning Using Soft Computing Approaches: A Review

Assembly sequence planning (ASP) is an NP-hard problem that involves finding the most optimum sequence to assemble a product. The potential assembly sequences are too large to be handled effectively using traditional approaches for the complex mechanical product. Because of the problem complexity, A...

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Main Authors:	Muhammad Arif, Abdullah, M. F. F., Ab Rashid, Z., Ghazalli
Format:	Article
Language:	English
Published:	Springer 2019
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/20556/ http://umpir.ump.edu.my/id/eprint/20556/ http://umpir.ump.edu.my/id/eprint/20556/ http://umpir.ump.edu.my/id/eprint/20556/7/Optimization%20of%20Assembly%20Sequence%20Planning%20Using%20Soft%20Computing1.pdf

id	ump-20556
recordtype	eprints
spelling	ump-205562019-07-17T02:57:59Z http://umpir.ump.edu.my/id/eprint/20556/ Optimization of Assembly Sequence Planning Using Soft Computing Approaches: A Review Muhammad Arif, Abdullah M. F. F., Ab Rashid Z., Ghazalli TS Manufactures Assembly sequence planning (ASP) is an NP-hard problem that involves finding the most optimum sequence to assemble a product. The potential assembly sequences are too large to be handled effectively using traditional approaches for the complex mechanical product. Because of the problem complexity, ASP optimization is required for the efficient computational approach to determine the best assembly sequence. This topic has attracted many researchers from the computer science, engineering, and mathematics background. This paper presents a review of the research that used soft computing approaches to solve and optimize ASP problem. The review on this topic is important for the future researchers to contribute in ASP. The literature review was conducted through finding related published research papers specifically on ASP that used soft computing approaches. This review focused on ASP modeling approach, optimization algorithms and optimization objectives. Based on the conducted review, several future research directions were drawn. In terms of the problem modeling, future research should emphasize to model the flexible part in ASP. Besides, the consideration of sustainable manufacturing and ergonomic factors in ASP will also be the new directions in ASP research. In addition, a further study on new optimization algorithms is also suggested to obtain an optimal solution in reasonable computational time. Springer 2019 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/20556/7/Optimization%20of%20Assembly%20Sequence%20Planning%20Using%20Soft%20Computing1.pdf Muhammad Arif, Abdullah and M. F. F., Ab Rashid and Z., Ghazalli (2019) Optimization of Assembly Sequence Planning Using Soft Computing Approaches: A Review. Archives of Computational Methods in Engineering, 26 (2). pp. 461-474. ISSN 1886-1784 https://doi.org/10.1007/s11831-018-9250-y https://doi.org/10.1007/s11831-018-9250-y
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TS Manufactures
spellingShingle	TS Manufactures Muhammad Arif, Abdullah M. F. F., Ab Rashid Z., Ghazalli Optimization of Assembly Sequence Planning Using Soft Computing Approaches: A Review
description	Assembly sequence planning (ASP) is an NP-hard problem that involves finding the most optimum sequence to assemble a product. The potential assembly sequences are too large to be handled effectively using traditional approaches for the complex mechanical product. Because of the problem complexity, ASP optimization is required for the efficient computational approach to determine the best assembly sequence. This topic has attracted many researchers from the computer science, engineering, and mathematics background. This paper presents a review of the research that used soft computing approaches to solve and optimize ASP problem. The review on this topic is important for the future researchers to contribute in ASP. The literature review was conducted through finding related published research papers specifically on ASP that used soft computing approaches. This review focused on ASP modeling approach, optimization algorithms and optimization objectives. Based on the conducted review, several future research directions were drawn. In terms of the problem modeling, future research should emphasize to model the flexible part in ASP. Besides, the consideration of sustainable manufacturing and ergonomic factors in ASP will also be the new directions in ASP research. In addition, a further study on new optimization algorithms is also suggested to obtain an optimal solution in reasonable computational time.
format	Article
author	Muhammad Arif, Abdullah M. F. F., Ab Rashid Z., Ghazalli
author_facet	Muhammad Arif, Abdullah M. F. F., Ab Rashid Z., Ghazalli
author_sort	Muhammad Arif, Abdullah
title	Optimization of Assembly Sequence Planning Using Soft Computing Approaches: A Review
title_short	Optimization of Assembly Sequence Planning Using Soft Computing Approaches: A Review
title_full	Optimization of Assembly Sequence Planning Using Soft Computing Approaches: A Review
title_fullStr	Optimization of Assembly Sequence Planning Using Soft Computing Approaches: A Review
title_full_unstemmed	Optimization of Assembly Sequence Planning Using Soft Computing Approaches: A Review
title_sort	optimization of assembly sequence planning using soft computing approaches: a review
publisher	Springer
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/20556/ http://umpir.ump.edu.my/id/eprint/20556/ http://umpir.ump.edu.my/id/eprint/20556/ http://umpir.ump.edu.my/id/eprint/20556/7/Optimization%20of%20Assembly%20Sequence%20Planning%20Using%20Soft%20Computing1.pdf
first_indexed	2023-09-18T22:29:43Z
last_indexed	2023-09-18T22:29:43Z
_version_	1777416203993612288

Optimization of Assembly Sequence Planning Using Soft Computing Approaches: A Review

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