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

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)

Pdf
Optimization of two-sided assembly line balancing.pdf
Restricted to Repository staff only
Download (2MB) | Request a copy

Preview

Pdf
Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation_ABS.pdf
Download (971kB) | Preview

DOI/Official URL: https://doi.org/10.24200/sci.2020.52610.2797

Abstract

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.

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Assembly line balancing; Manufacturing systems; Particle swarm optimization; Resource constraints; Two-sided line
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics
Faculty/Division:	Institute of Postgraduate Studies Faculty of Mechanical and Automotive Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	07 Jan 2025 03:51
Last Modified:	07 Jan 2025 03:51
URI:	http://umpir.ump.edu.my/id/eprint/42684
Download Statistic:	View Download Statistics

Actions (login required)

View Item