{"title":"A Closed-Loop Location-Inventory Problem Considering Returns with Mixed Quality Defects in E-Commerce","authors":"Lan Yao, Huaiming Wei, Xuedong Wang","doi":"10.1109/LISS.2018.8593258","DOIUrl":null,"url":null,"abstract":"Location-inventory problem has long been a classic area of research on the integrated optimization of logistics system, the previous research about LIP focused on forward logistics network without taking the reverse logistics into account. In recent years, the explosive growth of e- commerce and frequently returns in the e-commerce activities makes that we have to consider the LIP with returns. Therefore, we complete the formulization of this problem as a nonlinear integer programming model and, and an effective heuristic algorithm based on the improved genetic algorithm is used to solve the model. Computational results show the validity and advancement of the model and algorithm.","PeriodicalId":338998,"journal":{"name":"2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LISS.2018.8593258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Location-inventory problem has long been a classic area of research on the integrated optimization of logistics system, the previous research about LIP focused on forward logistics network without taking the reverse logistics into account. In recent years, the explosive growth of e- commerce and frequently returns in the e-commerce activities makes that we have to consider the LIP with returns. Therefore, we complete the formulization of this problem as a nonlinear integer programming model and, and an effective heuristic algorithm based on the improved genetic algorithm is used to solve the model. Computational results show the validity and advancement of the model and algorithm.