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. © Springer-Verlag London Limited 2009.
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Lin, Y. Y., Che, Z. H., Chiang, T. A., Che, Z. G., & Chiang, C. J. (2009). A bi-objective model for concurrent planning of supplier selection and assembly sequence planning. In Global Perspective for Competitive Enterprise, Economy and Ecology - Proceedings of the 16th ISPE International Conference on Concurrent Engineering (pp. 573–580). Springer-Verlag London Ltd. https://doi.org/10.1007/978-1-84882-762-2_54
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