{"title":"解决具有弹性需求和拥挤效应的服务设施选址问题","authors":"Yang Fang, Yijie Bian, Xuefeng Wang","doi":"10.1109/ICSSSM.2009.5174953","DOIUrl":null,"url":null,"abstract":"This paper describes a model that seeks to simultaneously optimize the location of multiple-server, congestible facilities in order to realize company's maximal total captured demand. The effective demand at each customer demand node is elastic to the travel cost to the facility, and to the congestion at that facility. We propose a greedy heuristic for the resulting problem formulation, and provide computational experiment.","PeriodicalId":287881,"journal":{"name":"2009 6th International Conference on Service Systems and Service Management","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Solving service facilities location problem with elastic demand and congest effect\",\"authors\":\"Yang Fang, Yijie Bian, Xuefeng Wang\",\"doi\":\"10.1109/ICSSSM.2009.5174953\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a model that seeks to simultaneously optimize the location of multiple-server, congestible facilities in order to realize company's maximal total captured demand. The effective demand at each customer demand node is elastic to the travel cost to the facility, and to the congestion at that facility. We propose a greedy heuristic for the resulting problem formulation, and provide computational experiment.\",\"PeriodicalId\":287881,\"journal\":{\"name\":\"2009 6th International Conference on Service Systems and Service Management\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 6th International Conference on Service Systems and Service Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSSM.2009.5174953\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 6th International Conference on Service Systems and Service Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSSM.2009.5174953","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Solving service facilities location problem with elastic demand and congest effect
This paper describes a model that seeks to simultaneously optimize the location of multiple-server, congestible facilities in order to realize company's maximal total captured demand. The effective demand at each customer demand node is elastic to the travel cost to the facility, and to the congestion at that facility. We propose a greedy heuristic for the resulting problem formulation, and provide computational experiment.