点击次数：

论文类型：会议论文

发表时间：2018-01-01

收录刊物：CPCI-S

卷号：126

页面范围：1693-1703

关键字：Sharing economy; reverse logistic network; MGSA

摘要：With the fast development of sharing economy and network, sharing bikes increasingly become more and more popular. Sharing bikes are devoted to solving the problem in the last trip. In order to realize the maximization of benefit, companies always invest a large number sharing bikes to enhance the occupation ratio of market. However, they don't recovery the faulty bikes, thus causing traffic congestion and environmental pollution. This paper observes the cost of reverse logistic and customer satisfaction in significant regionals, then establishes a reverse logistic network for faulty sharing bikes. A Modified Genetic Simulated Annealing Algorithm(MGSA) is applied to solve this model. The computation results verify the effectiveness of the MGSA. (C) 2018 The Authors. Published by Elsevier Ltd.