{"title":"基于模糊度量的集群供应链供应商选择","authors":"Jizi Li, Baishu Li, Zhiping Li","doi":"10.1109/ISECS.2008.162","DOIUrl":null,"url":null,"abstract":"Uncertainty in operation process of cluster supply chain raises the issue of flexibility, where the supply lead-time and demand quantity are the two most common changes occurring in cluster supply chain. Focusing on the flexibility of cluster supply chain, the fuzzy set theory was applied to give the representation for the variables, and model the cluster supply chain flexibility. Besides it, a supplier selection method was developed. Finally, an illustrative example was given for demonstration.","PeriodicalId":144075,"journal":{"name":"2008 International Symposium on Electronic Commerce and Security","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Selecting Supplier of Cluster Supply Chain Based on Fuzzy Measurement\",\"authors\":\"Jizi Li, Baishu Li, Zhiping Li\",\"doi\":\"10.1109/ISECS.2008.162\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Uncertainty in operation process of cluster supply chain raises the issue of flexibility, where the supply lead-time and demand quantity are the two most common changes occurring in cluster supply chain. Focusing on the flexibility of cluster supply chain, the fuzzy set theory was applied to give the representation for the variables, and model the cluster supply chain flexibility. Besides it, a supplier selection method was developed. Finally, an illustrative example was given for demonstration.\",\"PeriodicalId\":144075,\"journal\":{\"name\":\"2008 International Symposium on Electronic Commerce and Security\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Symposium on Electronic Commerce and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISECS.2008.162\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Electronic Commerce and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISECS.2008.162","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Selecting Supplier of Cluster Supply Chain Based on Fuzzy Measurement
Uncertainty in operation process of cluster supply chain raises the issue of flexibility, where the supply lead-time and demand quantity are the two most common changes occurring in cluster supply chain. Focusing on the flexibility of cluster supply chain, the fuzzy set theory was applied to give the representation for the variables, and model the cluster supply chain flexibility. Besides it, a supplier selection method was developed. Finally, an illustrative example was given for demonstration.