教師資料查詢 | 類別: 期刊論文 | 教師: 廖述賢 LIAO SHU-HSIEN (瀏覽個人網頁)

標題:An evolutionary approach for multi-objective optimization of the integrated location-inventory distribution network problem in vendor-managed inventory
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
語言英文(美國)
ISSN0957-4174; 1873-6793
期刊性質國外
收錄於SCI
產學合作
通訊作者
審稿制度
國別
公開徵稿
出版型式紙本;電子版
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