{"title":"具有多重不确定性和中断的两阶段鲁棒设施选址问题","authors":"Chun Peng, Jinlin Li, Shanshan Wang","doi":"10.1109/ICSSSM.2017.7996131","DOIUrl":null,"url":null,"abstract":"In this paper, we integrate two independent multiplicative uncertainties (uncertain demand and cost) and facility disruptions together, introduce budget uncertainty set to capture uncertain parameters. Based on the underlying deterministic model, we propose a two-stage robust facility location model, incorporating facility disruptions in recourse stage, which is an nonlinear problem resulted by two multiplicative uncertain parameters. Then, using the recent advances in robust optimization, we reformulate the proposed model as a tractable mixed integer linear programming. Finally, it is applied to a practical study for emergency supply network in Northwest Sichuan, and some managerial insights are drawn.","PeriodicalId":239892,"journal":{"name":"2017 International Conference on Service Systems and Service Management","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Two-stage robust facility location problem with multiplicative uncertainties and disruptions\",\"authors\":\"Chun Peng, Jinlin Li, Shanshan Wang\",\"doi\":\"10.1109/ICSSSM.2017.7996131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we integrate two independent multiplicative uncertainties (uncertain demand and cost) and facility disruptions together, introduce budget uncertainty set to capture uncertain parameters. Based on the underlying deterministic model, we propose a two-stage robust facility location model, incorporating facility disruptions in recourse stage, which is an nonlinear problem resulted by two multiplicative uncertain parameters. Then, using the recent advances in robust optimization, we reformulate the proposed model as a tractable mixed integer linear programming. Finally, it is applied to a practical study for emergency supply network in Northwest Sichuan, and some managerial insights are drawn.\",\"PeriodicalId\":239892,\"journal\":{\"name\":\"2017 International Conference on Service Systems and Service Management\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Service Systems and Service Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSSM.2017.7996131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Service Systems and Service Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSSM.2017.7996131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Two-stage robust facility location problem with multiplicative uncertainties and disruptions
In this paper, we integrate two independent multiplicative uncertainties (uncertain demand and cost) and facility disruptions together, introduce budget uncertainty set to capture uncertain parameters. Based on the underlying deterministic model, we propose a two-stage robust facility location model, incorporating facility disruptions in recourse stage, which is an nonlinear problem resulted by two multiplicative uncertain parameters. Then, using the recent advances in robust optimization, we reformulate the proposed model as a tractable mixed integer linear programming. Finally, it is applied to a practical study for emergency supply network in Northwest Sichuan, and some managerial insights are drawn.