{"title":"B2C模式下农村电子商务逆向物流网络多阶段布局优化——以电子商务企业3C产品为例","authors":"Feng Cao, Jianquan Guo, Chengji Liang","doi":"10.1109/ICEBE.2016.056","DOIUrl":null,"url":null,"abstract":"The reverse logistics network of rural E-commerce under B2C mode is optimized by the multi-stage optimization model, which can solve the return and recycling problems of online-shopping products. The minimum of network cost and the maximum of customer satisfaction are taken as the objective function. Then the feasibility of optimization model is validated by applying a two-phase heuristic algorithm nesting GA with a calculation example. The results reveal that the multi-stage model not only reduces the uncertain risk of the system, but optimizes the input of different resources during the whole operation process. This study could provide a reference for the design of the reverse logistics network on online-shopping products, especially for that of rural E-commerce. And proper use of proposed process could help E-commerce enterprise manage the returning and recycling flow of online-shopping products effectively.","PeriodicalId":305614,"journal":{"name":"2016 IEEE 13th International Conference on e-Business Engineering (ICEBE)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Multi-stage Layout Optimization for Reverse Logistics Network of Rural E-Commerce under B2C Mode: A Case Study of E-Commerce Enterprises on 3C Products\",\"authors\":\"Feng Cao, Jianquan Guo, Chengji Liang\",\"doi\":\"10.1109/ICEBE.2016.056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The reverse logistics network of rural E-commerce under B2C mode is optimized by the multi-stage optimization model, which can solve the return and recycling problems of online-shopping products. The minimum of network cost and the maximum of customer satisfaction are taken as the objective function. Then the feasibility of optimization model is validated by applying a two-phase heuristic algorithm nesting GA with a calculation example. The results reveal that the multi-stage model not only reduces the uncertain risk of the system, but optimizes the input of different resources during the whole operation process. This study could provide a reference for the design of the reverse logistics network on online-shopping products, especially for that of rural E-commerce. And proper use of proposed process could help E-commerce enterprise manage the returning and recycling flow of online-shopping products effectively.\",\"PeriodicalId\":305614,\"journal\":{\"name\":\"2016 IEEE 13th International Conference on e-Business Engineering (ICEBE)\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 13th International Conference on e-Business Engineering (ICEBE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEBE.2016.056\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 13th International Conference on e-Business Engineering (ICEBE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEBE.2016.056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-stage Layout Optimization for Reverse Logistics Network of Rural E-Commerce under B2C Mode: A Case Study of E-Commerce Enterprises on 3C Products
The reverse logistics network of rural E-commerce under B2C mode is optimized by the multi-stage optimization model, which can solve the return and recycling problems of online-shopping products. The minimum of network cost and the maximum of customer satisfaction are taken as the objective function. Then the feasibility of optimization model is validated by applying a two-phase heuristic algorithm nesting GA with a calculation example. The results reveal that the multi-stage model not only reduces the uncertain risk of the system, but optimizes the input of different resources during the whole operation process. This study could provide a reference for the design of the reverse logistics network on online-shopping products, especially for that of rural E-commerce. And proper use of proposed process could help E-commerce enterprise manage the returning and recycling flow of online-shopping products effectively.