Fourth party logistics routing problem model with fuzzy duration time and cost discount

详细信息    查看全文

• 作者：Yan Cui ; Min Huang ; Shengxiang Yang ; Loo Hay Lee ; Xingwei Wang
• 关键词：Fourth party logistics ; Routing problem ; Chance constrained programming ; Memetic algorithm ; Local search
• 刊名：Knowledge-Based Systems
• 出版年：2013
• 出版时间：September, 2013
• 年：2013
• 卷：50
• 期：Complete
• 页码：14-24
• 全文大小：1432 K

文摘

In this paper, from the viewpoint of a fourth party logistics (4PL) provider, a multi-source single-destination 4PL routing problem with fuzzy duration time and cost discount (M-S 4PLRPFC) is described considering the comprehensive ability of 3PL suppliers and nodes. A chance-constrained programming model is established for the M-S 4PLRPFC. Next, a memetic algorithm (MA) with a fuzzy simulation method is designed to solve the problem. Based on a set of problem instances as the test bed, experiments are performed to compare the performance of the proposed MA with those of the enumeration method and a standard genetic algorithm (SGA). The experimental results show that the proposed MA obtains the same results as the enumeration method and that it is than the SGA.