Variable Neighborhood Search for the Inventory Routing and Scheduling Problem in a Supply Chain

in Sciences Citation Index(SCI), 科學引文索引資料庫(SCI)
標題Variable Neighborhood Search for the Inventory Routing and Scheduling Problem in a Supply Chain
出版類型SCI(Sciences Citation Index)
出版年度2011
AuthorsShu-Chu Liu, 劉書助
開始頁4149
頁數10
出版日期2012 / 3
其他編號0000
中文摘要

The inventory, routing and scheduling decisions are three major driving factors for supply chain performance. Since they are related to one another in a supply chain, they should be determined simultaneously to improve the decision quality. In the past, the inventory policy, vehicle routing and vehicle scheduling are determined sequentially and separately. Hence, the total cost (inventory, routing and vehicle costs) would increase. In this paper, an integrated model for the inventory routing and scheduling problem (IRSP) is proposed. Since searching for the optimal solution for this model is a non-polynomial (NP) problem, a metaheuristic, variable neighborhood search (VNS), is proposed. The proposed method was compared with other existing methods. The experimental results indicate that the proposed method is better than other methods in terms of average cost per day.

期刊名稱Expert Systems with Applications
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