A Bi-objective Model for Concurrent Planning of Supplier Selection and Assembly Sequence Planning
| Autor: | Yao-Ying Lin, 林瑤瑩 |
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| Rok vydání: | 2009 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 97 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 hybrid multi-objective algorithm (HMOA) which combines Non-dominated sorting genetic algorithm II (NSGA-II) and Non-dominated sorting particle swarm optimization (NSPSO) was used to solve the model for a case of stapler assembly, in order to validate the solving effects of HMOA. The results showed that HMOA is not only more exact than NSGA-II and NSPSO, but also have a better distribution and a wider extent than NSGA-II. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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