Comparison of Sequential and Integrated Optimisation Approaches for ASP and ALB

Combining Assembly Sequence Planning (ASP) and Assembly Line Balancing (ALB) is now of increasing interest. The customary approach is the sequential approach, where ASP is optimised before ALB. Recently, interest in the integrated approach has begun to pick up. In an integrated approach, both ASP an...

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Main Authors: M. F. F., Ab Rashid, Tiwari, Ashutosh, Windo, Hutabarat
Format: Article
Language:English
Published: Elsevier 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/18152/
http://umpir.ump.edu.my/id/eprint/18152/
http://umpir.ump.edu.my/id/eprint/18152/
http://umpir.ump.edu.my/id/eprint/18152/1/2017%20Comparison%20of%20ASP%20and%20ALB.pdf
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spelling ump-181522018-01-17T03:02:25Z http://umpir.ump.edu.my/id/eprint/18152/ Comparison of Sequential and Integrated Optimisation Approaches for ASP and ALB M. F. F., Ab Rashid Tiwari, Ashutosh Windo, Hutabarat TS Manufactures Combining Assembly Sequence Planning (ASP) and Assembly Line Balancing (ALB) is now of increasing interest. The customary approach is the sequential approach, where ASP is optimised before ALB. Recently, interest in the integrated approach has begun to pick up. In an integrated approach, both ASP and ALB are optimised at the same time. Various claims have been made regarding the benefits of integrated optimisation compared with sequential optimisation, such as access to a larger search space that leads to better solution quality, reduced error rate in planning and expedited product time-to-market. These benefits are often cited but no existing work has substantiated the claimed benefits by publishing a quantitative comparison between sequential and integrated approaches. This paper therefore compares the sequential and integrated optimisation approaches for ASP and ALB using 51 test problems. This is done so that the behaviour of each approach in optimising ASP and ALB problems at different difficulty levels can be properly understood. An algorithm named Multi-Objective Discrete Particle Swarm Optimisation (MODPSO) is applied in both approaches. For ASP, the optimisation results indicate that the integrated approach is suitable to be used in small and medium-sized problems, according to the number of non-dominated solution and error ratio indicators. Meanwhile, the sequential approach converges more quickly in large-sized problems. For pure ALB, the integrated approach is preferable in all cases. When both ASP and ALB are considered, the integrated approach is superior to the sequential approach. Elsevier 2017-07-11 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/18152/1/2017%20Comparison%20of%20ASP%20and%20ALB.pdf M. F. F., Ab Rashid and Tiwari, Ashutosh and Windo, Hutabarat (2017) Comparison of Sequential and Integrated Optimisation Approaches for ASP and ALB. Procedia CIRP, 63. pp. 505-510. ISSN 2212-8271 http://www.sciencedirect.com/science/article/pii/S2212827117302299 https://doi.org/10.1016/j.procir.2017.03.083
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
M. F. F., Ab Rashid
Tiwari, Ashutosh
Windo, Hutabarat
Comparison of Sequential and Integrated Optimisation Approaches for ASP and ALB
description Combining Assembly Sequence Planning (ASP) and Assembly Line Balancing (ALB) is now of increasing interest. The customary approach is the sequential approach, where ASP is optimised before ALB. Recently, interest in the integrated approach has begun to pick up. In an integrated approach, both ASP and ALB are optimised at the same time. Various claims have been made regarding the benefits of integrated optimisation compared with sequential optimisation, such as access to a larger search space that leads to better solution quality, reduced error rate in planning and expedited product time-to-market. These benefits are often cited but no existing work has substantiated the claimed benefits by publishing a quantitative comparison between sequential and integrated approaches. This paper therefore compares the sequential and integrated optimisation approaches for ASP and ALB using 51 test problems. This is done so that the behaviour of each approach in optimising ASP and ALB problems at different difficulty levels can be properly understood. An algorithm named Multi-Objective Discrete Particle Swarm Optimisation (MODPSO) is applied in both approaches. For ASP, the optimisation results indicate that the integrated approach is suitable to be used in small and medium-sized problems, according to the number of non-dominated solution and error ratio indicators. Meanwhile, the sequential approach converges more quickly in large-sized problems. For pure ALB, the integrated approach is preferable in all cases. When both ASP and ALB are considered, the integrated approach is superior to the sequential approach.
format Article
author M. F. F., Ab Rashid
Tiwari, Ashutosh
Windo, Hutabarat
author_facet M. F. F., Ab Rashid
Tiwari, Ashutosh
Windo, Hutabarat
author_sort M. F. F., Ab Rashid
title Comparison of Sequential and Integrated Optimisation Approaches for ASP and ALB
title_short Comparison of Sequential and Integrated Optimisation Approaches for ASP and ALB
title_full Comparison of Sequential and Integrated Optimisation Approaches for ASP and ALB
title_fullStr Comparison of Sequential and Integrated Optimisation Approaches for ASP and ALB
title_full_unstemmed Comparison of Sequential and Integrated Optimisation Approaches for ASP and ALB
title_sort comparison of sequential and integrated optimisation approaches for asp and alb
publisher Elsevier
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/18152/
http://umpir.ump.edu.my/id/eprint/18152/
http://umpir.ump.edu.my/id/eprint/18152/
http://umpir.ump.edu.my/id/eprint/18152/1/2017%20Comparison%20of%20ASP%20and%20ALB.pdf
first_indexed 2023-09-18T22:25:32Z
last_indexed 2023-09-18T22:25:32Z
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