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Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing

Research in assembly optimisation is presently inclined towards integrative measures. Several benefits of simultaneously optimised Assembly Sequence Planning (ASP) and Assembly Line Balancing (ALB) have been highlighted by researchers to have better solution quality, shorter time-to-market, and mini...

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Main Authors: Mohd Fadzil Faisae, Ab Rashid, Nik Mohd Zuki, Nik Mohamed, Ahmad Nasser, Mohd Rose
Format: Article
Language:English
English
Published: Springer 2022
Subjects:
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/34134/1/s10878-022-00861-2.pdf
http://umpir.ump.edu.my/id/eprint/34134/7/Multi-objective%20multi-verse%20optimiser%20for%20integrated%20two-sided%20assembly%20.pdf
http://umpir.ump.edu.my/id/eprint/34134/
https://doi.org/10.1007/s10878-022-00861-2
https://doi.org/10.1007/s10878-022-00861-2
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spelling my.ump.umpir.341342022-09-05T03:57:40Z http://umpir.ump.edu.my/id/eprint/34134/ Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing Mohd Fadzil Faisae, Ab Rashid Nik Mohd Zuki, Nik Mohamed Ahmad Nasser, Mohd Rose TS Manufactures Research in assembly optimisation is presently inclined towards integrative measures. Several benefits of simultaneously optimised Assembly Sequence Planning (ASP) and Assembly Line Balancing (ALB) have been highlighted by researchers to have better solution quality, shorter time-to-market, and minimalised error during planning. Recently, several efforts have been made to realise integrated assembly optimisation. However, none of the published research considered the two-sided assembly line problem. This paper presents an integrated ASP and ALB optimisation in a two-sided assembly environment (2S-ASPLB), which is mainly adopted in automotive assembly process. In this study, the 2S-ASPLB problem was formulated and optimised using Multi-Objective Multi-Verse Optimiser (MOMVO) by considering line efficiency, reorientation penalty, and tool change as the optimisation objectives. The computational experiments were conducted in a few stages, beginning with the identification of the best decoding approach for 2S-ASPLB. Next, the best MOMVO coefficient was studied, followed by comparing MOMVO performance with well-established multi-objective optimisation algorithms. Finally, a case study problem was presented to demonstrate applicability of the proposed model and algorithm in real-life problem. The results indicated that the priority factor (PF) decoding approach had better performance compared with others. Meanwhile, in comparison with well-established algorithms, MOMVO performed better in convergence and solution distribution. The case study results indicated the applicability of proposed 2S-ASPLB model and algorithm to improve line efficiency in assembly line. The main contribution of the research is a new 2S-ASPLB model and optimisation scheme, which can assist manufacturer in designing better assembly layout. Springer 2022 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34134/1/s10878-022-00861-2.pdf pdf en http://umpir.ump.edu.my/id/eprint/34134/7/Multi-objective%20multi-verse%20optimiser%20for%20integrated%20two-sided%20assembly%20.pdf Mohd Fadzil Faisae, Ab Rashid and Nik Mohd Zuki, Nik Mohamed and Ahmad Nasser, Mohd Rose (2022) Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing. Journal of Combinatorial Optimization, 44 (1). 850 -876. ISSN 1573-2886 https://doi.org/10.1007/s10878-022-00861-2 https://doi.org/10.1007/s10878-022-00861-2
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TS Manufactures
spellingShingle TS Manufactures
Mohd Fadzil Faisae, Ab Rashid
Nik Mohd Zuki, Nik Mohamed
Ahmad Nasser, Mohd Rose
Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing
description Research in assembly optimisation is presently inclined towards integrative measures. Several benefits of simultaneously optimised Assembly Sequence Planning (ASP) and Assembly Line Balancing (ALB) have been highlighted by researchers to have better solution quality, shorter time-to-market, and minimalised error during planning. Recently, several efforts have been made to realise integrated assembly optimisation. However, none of the published research considered the two-sided assembly line problem. This paper presents an integrated ASP and ALB optimisation in a two-sided assembly environment (2S-ASPLB), which is mainly adopted in automotive assembly process. In this study, the 2S-ASPLB problem was formulated and optimised using Multi-Objective Multi-Verse Optimiser (MOMVO) by considering line efficiency, reorientation penalty, and tool change as the optimisation objectives. The computational experiments were conducted in a few stages, beginning with the identification of the best decoding approach for 2S-ASPLB. Next, the best MOMVO coefficient was studied, followed by comparing MOMVO performance with well-established multi-objective optimisation algorithms. Finally, a case study problem was presented to demonstrate applicability of the proposed model and algorithm in real-life problem. The results indicated that the priority factor (PF) decoding approach had better performance compared with others. Meanwhile, in comparison with well-established algorithms, MOMVO performed better in convergence and solution distribution. The case study results indicated the applicability of proposed 2S-ASPLB model and algorithm to improve line efficiency in assembly line. The main contribution of the research is a new 2S-ASPLB model and optimisation scheme, which can assist manufacturer in designing better assembly layout.
format Article
author Mohd Fadzil Faisae, Ab Rashid
Nik Mohd Zuki, Nik Mohamed
Ahmad Nasser, Mohd Rose
author_facet Mohd Fadzil Faisae, Ab Rashid
Nik Mohd Zuki, Nik Mohamed
Ahmad Nasser, Mohd Rose
author_sort Mohd Fadzil Faisae, Ab Rashid
title Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing
title_short Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing
title_full Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing
title_fullStr Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing
title_full_unstemmed Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing
title_sort multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing
publisher Springer
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/34134/1/s10878-022-00861-2.pdf
http://umpir.ump.edu.my/id/eprint/34134/7/Multi-objective%20multi-verse%20optimiser%20for%20integrated%20two-sided%20assembly%20.pdf
http://umpir.ump.edu.my/id/eprint/34134/
https://doi.org/10.1007/s10878-022-00861-2
https://doi.org/10.1007/s10878-022-00861-2
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score 13.211869

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