{"title":"Construction of Forward and Reverse Logistics Network and Route Planning of Fresh Food E-Commerce Enterprises","authors":"Siyuan Fan, Xiao-bing Xu, Chengji Liang, Jianquan Guo","doi":"10.1109/ICEBE.2015.35","DOIUrl":null,"url":null,"abstract":"The booming development of Internet and E-business world widely has caused an enormous effect on the conduct of global business in fundamental ways. Fresh food commerce, a traditional way of providing things for people's daily lives, has been endowed great implication under the environment of Internet and E-business. Fresh food E-commerce shrinks distances, eliminates intermediaries, and brings about closer integration of its former supply chain. This paper proposes a forward/reverse logistics network and route planning model for fresh food e-commerce enterprises. And a calculating case study of optimal operation in a district in Shanghai, China of fresh food E-commerce enterprises is used to verify the feasibility of the model by adopting genetic algorithm (GA). The study provides a good reference for the design of forward and reverse logistics network and its optimal operation of fresh food e-commerce enterprises, and additionally, provides reference for integration and collaboration of E-business functions.","PeriodicalId":153535,"journal":{"name":"2015 IEEE 12th International Conference on e-Business Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 12th International Conference on e-Business Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEBE.2015.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The booming development of Internet and E-business world widely has caused an enormous effect on the conduct of global business in fundamental ways. Fresh food commerce, a traditional way of providing things for people's daily lives, has been endowed great implication under the environment of Internet and E-business. Fresh food E-commerce shrinks distances, eliminates intermediaries, and brings about closer integration of its former supply chain. This paper proposes a forward/reverse logistics network and route planning model for fresh food e-commerce enterprises. And a calculating case study of optimal operation in a district in Shanghai, China of fresh food E-commerce enterprises is used to verify the feasibility of the model by adopting genetic algorithm (GA). The study provides a good reference for the design of forward and reverse logistics network and its optimal operation of fresh food e-commerce enterprises, and additionally, provides reference for integration and collaboration of E-business functions.