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A bi-objective model for concurrent planning of supplier selection and assembly sequence planning

  • Y. Y. Lin
  • , Z. H. Che
  • , Tzu An Chiang
  • , Zhen Guo Che
  • , C. J. Chiang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

This study discussed parts supplier selection for central assembly plant. In addition to the delivery state of suppliers, the production conditions of the central assembly plant should be considered. A bi-objective optimal mathematical model was thus established for supplier selection in this study, which incorporates assembly sequence planning (ASP). At the same time, the multi-objective particle swarm optimization (MPSO) was used to solve the model for a case of stapler assembly, in order to validate the solving effects of MPSO. The results showed that MPSO not only has faster convergence, but can also obtain better Pareto-optimal solutions.

Original languageEnglish
Title of host publicationGlobal Perspective for Competitive Enterprise, Economy and Ecology - Proceedings of the 16th ISPE International Conference on Concurrent Engineering
PublisherSpringer-Verlag London Ltd
Pages573-580
Number of pages8
ISBN (Print)9781848827615
DOIs
StatePublished - 2009
Event16th ISPE International Conference on Concurrent Engineering, CE 2009 - Taipei, Taiwan
Duration: 20 Jul 200924 Jul 2009

Publication series

NameGlobal Perspective for Competitive Enterprise, Economy and Ecology - Proceedings of the 16th ISPE International Conference on Concurrent Engineering

Conference

Conference16th ISPE International Conference on Concurrent Engineering, CE 2009
Country/TerritoryTaiwan
CityTaipei
Period20/07/0924/07/09

Keywords

  • Assembly sequence planning
  • Multi-objective optimization
  • Particle swarm optimization
  • Supplier selection

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