Multi-objective discrete particle swarm optimisation algorithm for integrated assembly sequence planning and assembly line balancing

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dc.contributor.author Ab Rashid, Mohd Fadzil Faisae
dc.contributor.author Hutabarat, Windo
dc.contributor.author Tiwari, Ashutosh
dc.date.accessioned 2017-01-11T09:44:14Z
dc.date.available 2017-01-11T09:44:14Z
dc.date.issued 2016-10-24
dc.identifier.citation Mohd Fadzil Faisae Ab Rashid, Windo Hutabarat, Ashutosh Tiwari, 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, Volume 232, Issue 8, 2018 , pp. 1444-1459 en_UK
dc.identifier.issn 0954-4054
dc.identifier.uri http://dx.doi.org/10.1177/0954405416673095
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/11242
dc.description.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. en_UK
dc.language.iso en en_UK
dc.publisher Sage en_UK
dc.rights Attribution-NonCommercial 3.0 International
dc.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
dc.subject Integrated assembly sequence planning and assembly line balancing en_UK
dc.subject particle swarm optimisation en_UK
dc.subject multi-objective optimisation en_UK
dc.subject discrete particle swarm optimisation en_UK
dc.title Multi-objective discrete particle swarm optimisation algorithm for integrated assembly sequence planning and assembly line balancing en_UK
dc.type Article en_UK


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