期刊論文
| 學年 | 99 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2011-06-01 |
| 作品名稱 | An evolutionary approach for multi-objective optimization of the integrated location-inventory distribution network problem in vendor-managed inventory |
| 作品名稱（其他語言） | |
| 著者 | Liao, Shu-hsien; Hsieh, Chia-Lin; Lai, Peng-Jen |
| 單位 | 淡江大學管理科學學系 |
| 出版者 | Pergamon |
| 著錄名稱、卷期、頁數 | Expert Systems With Applications 38(6), pp.6768-6776 |
| 摘要 | Vendor-managed inventory (VMI) is one of the emerging solutions for improving the supply chain efficiency. It gives the supplier the responsibility to monitor and decide the inventory replenishments of their customers. In this paper, an integrated location-inventory distribution network problem which integrates the effects of facility location, distribution, and inventory issues is formulated under the VMI setup. We presented a Multi-Objective Location-Inventory Problem (MOLIP) model and investigated the possibility of a multi-objective evolutionary algorithm based on the Non-dominated Sorting Genetic Algorithm (NSGA2) for solving MOLIP. To assess the performance of our approach, we conduct computational experiments with certain criteria. The potential of the proposed approach is demonstrated by comparing to a well-known multi-objective evolutionary algorithm. Computational results have presented promise solutions for different sizes of problems and proved to be an innovative and efficient approach for many difficult-to-solve problems. |
| 關鍵字 | Integrated location–inventory distribution network system; Vendor-managed inventory (VMI); Supply chain management; Multi-objective optimization; Genetic algorithm |
| 語言 | en_US |
| ISSN | 0957-4174; 1873-6793 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | |
| 公開徵稿 | |
| 出版型式 | 紙本 電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/91975 ) |