M. F. F., Ab Rashid and Hutabarat, Windo and Tiwari, Ashutosh (2016) Multi-Objective Discrete Particle Swarm Optimisation Algorithm for Integrated Assembly Sequence Planning and Assembly Line Balancing. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. pp. 1-16. ISSN 2041-2975. (Published)
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Abstract
In assembly optimisation, assembly sequence planning and assembly line balancing have been extensively studied because both activities are directly linked with assembly efficiency that influences the final assembly costs. Both activities are categorised as NP-hard and usually performed separately. Assembly sequence planning and assembly line balancing optimisation presents a good opportunity to be integrated, considering the benefits such as larger search space that leads to better solution quality, reduces error rate in planning and speeds up time-to-market for a product. In order to optimise an integrated assembly sequence planning and assembly line balancing, this work proposes a multi-objective discrete particle swarm optimisation algorithm that used discrete procedures to update its position and velocity in finding Pareto optimal solution. A computational experiment with 51 test problems at different difficulty levels was used to test the multi-objective discrete particle swarm optimisation performance compared with the existing algorithms. A statistical test of the algorithm performance indicates that the proposed multi-objective discrete particle swarm optimisation algorithm presents significant improvement in terms of the quality of the solution set towards the Pareto optimal set.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Integrated assembly sequence planning and assembly line balancing, particle swarm optimisation, multi-objective optimisation, discrete particle swarm optimisation |
| Subjects: | T Technology > TS Manufactures |
| Faculty/Division: | Faculty of Mechanical Engineering |
| Depositing User: | Dr. Mohd Fadzil Faisae Ab. Rashid |
| Date Deposited: | 03 Feb 2017 01:56 |
| Last Modified: | 03 Feb 2017 01:56 |
| URI: | http://umpir.ump.edu.my/id/eprint/15059 |
| Download Statistic: | View Download Statistics |
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