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Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation

Two-Sided Assembly Line Balancing (2S-ALB) is essential to the production of large-sized high-volume products, including automotive production, at assembly plants. The 2S-ALB problem involves different assembly resources such as worker skills, tools, and machines required for the assembly. This rese...

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Main Authors: Muhammad Razif, Abdullah Make, Mohd Fadzil Faisae, Ab Rashid
Format: Article
Language:English
English
Published: Sharif University of Technology 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Online Access:http://umpir.ump.edu.my/id/eprint/42684/1/Optimization%20of%20two-sided%20assembly%20line%20balancing.pdf
http://umpir.ump.edu.my/id/eprint/42684/2/Optimization%20of%20two-sided%20assembly%20line%20balancing%20with%20resource%20constraints%20using%20modified%20particle%20swarm%20optimisation_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42684/
https://doi.org/10.24200/sci.2020.52610.2797
https://doi.org/10.24200/sci.2020.52610.2797
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spelling my.ump.umpir.426842025-01-07T03:51:09Z http://umpir.ump.edu.my/id/eprint/42684/ Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation Muhammad Razif, Abdullah Make Mohd Fadzil Faisae, Ab Rashid T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Two-Sided Assembly Line Balancing (2S-ALB) is essential to the production of large-sized high-volume products, including automotive production, at assembly plants. The 2S-ALB problem involves different assembly resources such as worker skills, tools, and machines required for the assembly. This research modeled and optimized the 2S-ALB with resource constraints. In the end, besides favorable workload balance, the number of resources can be optimized. For optimization purpose, particle swarm optimization was modified to reduce dependence on a single best solution. This was conducted by replacing the best solution with the top three solutions in the reproduction process. Computational experiment results using 12 benchmark test problems indicated that the 2S-ALB with a resource-constrained model was able to reduce the number of resources for use in an assembly line. Furthermore, the proposed Modified Particle Swarm Optimization (MPSO) was capable of searching for minimum solutions to 11 out of 12 test problems. The good performance of MPSO was attributed to its ability to maintain particle diversity over iterations. The proposed 2S-ALB model and MPSO algorithm were validated later using an industrial case study. This research makes a two-fold contribution: (a) Proposition of a novel 2S-ALB with resource-constrained model and (b) a modified PSO algorithm with enhanced performance. Sharif University of Technology 2022-07 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42684/1/Optimization%20of%20two-sided%20assembly%20line%20balancing.pdf pdf en http://umpir.ump.edu.my/id/eprint/42684/2/Optimization%20of%20two-sided%20assembly%20line%20balancing%20with%20resource%20constraints%20using%20modified%20particle%20swarm%20optimisation_ABS.pdf Muhammad Razif, Abdullah Make and Mohd Fadzil Faisae, Ab Rashid (2022) Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation. Scientia Iranica, 29 (4). pp. 2084-2098. ISSN 1026-3098. (Published) https://doi.org/10.24200/sci.2020.52610.2797 https://doi.org/10.24200/sci.2020.52610.2797
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Muhammad Razif, Abdullah Make
Mohd Fadzil Faisae, Ab Rashid
Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation
description Two-Sided Assembly Line Balancing (2S-ALB) is essential to the production of large-sized high-volume products, including automotive production, at assembly plants. The 2S-ALB problem involves different assembly resources such as worker skills, tools, and machines required for the assembly. This research modeled and optimized the 2S-ALB with resource constraints. In the end, besides favorable workload balance, the number of resources can be optimized. For optimization purpose, particle swarm optimization was modified to reduce dependence on a single best solution. This was conducted by replacing the best solution with the top three solutions in the reproduction process. Computational experiment results using 12 benchmark test problems indicated that the 2S-ALB with a resource-constrained model was able to reduce the number of resources for use in an assembly line. Furthermore, the proposed Modified Particle Swarm Optimization (MPSO) was capable of searching for minimum solutions to 11 out of 12 test problems. The good performance of MPSO was attributed to its ability to maintain particle diversity over iterations. The proposed 2S-ALB model and MPSO algorithm were validated later using an industrial case study. This research makes a two-fold contribution: (a) Proposition of a novel 2S-ALB with resource-constrained model and (b) a modified PSO algorithm with enhanced performance.
format Article
author Muhammad Razif, Abdullah Make
Mohd Fadzil Faisae, Ab Rashid
author_facet Muhammad Razif, Abdullah Make
Mohd Fadzil Faisae, Ab Rashid
author_sort Muhammad Razif, Abdullah Make
title Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation
title_short Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation
title_full Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation
title_fullStr Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation
title_full_unstemmed Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation
title_sort optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation
publisher Sharif University of Technology
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/42684/1/Optimization%20of%20two-sided%20assembly%20line%20balancing.pdf
http://umpir.ump.edu.my/id/eprint/42684/2/Optimization%20of%20two-sided%20assembly%20line%20balancing%20with%20resource%20constraints%20using%20modified%20particle%20swarm%20optimisation_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42684/
https://doi.org/10.24200/sci.2020.52610.2797
https://doi.org/10.24200/sci.2020.52610.2797
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score 13.232681

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