Comparison of sequential and integrated optimisation approaches for ASP and ALB

Simple item page
dc.contributor.authorAb Rashid, Mohd Fadzil Faisae
dc.contributor.authorTiwari, Ashutosh
dc.contributor.authorHutabarat, Windo
dc.date.accessioned2017-08-29T09:52:21Z
dc.date.available2017-08-29T09:52:21Z
dc.date.issued2017-07-11
dc.description.abstractCombining 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.en_UK
dc.identifier.citationM.F.F. Ab Rashid, A. Tiwari, W. Hutabarat, Comparison of Sequential and Integrated Optimisation Approaches for ASP and ALB, Procedia CIRP, Volume 63, 2017, Pages 505-510en_UK
dc.identifier.issn2212-8271
dc.identifier.urihttp://dx.doi.org/10.1016/j.procir.2017.03.083
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12396
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-Non-Commercial-No Derivatives 4.0 (CC BY-NC-ND 4.0). You are free to: Share — copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
dc.subjectAssembly sequence planningen_UK
dc.subjectassembly line balancingen_UK
dc.subjectintegrated optimisationen_UK
dc.subjectsequential optimisationen_UK
dc.titleComparison of sequential and integrated optimisation approaches for ASP and ALBen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
sequential_and_integrated_optimisation_approaches_for_ASP_and_ALB-2017.pdf
Size:
314.1 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.79 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)