{"title":"基于模糊图理论的设施选址与配置问题研究","authors":"Jinmei Wang, K. Zhuang","doi":"10.1109/ICMSS.2010.5577858","DOIUrl":null,"url":null,"abstract":"The location and allocation of regional distribution center is the key problem of logistics distribution network, it concerns that whether the distribution system can perform efficiently. The paper sets up a mathematic location model of generalized transportation costs on basis of economic scale, and then solves Location and Allocation Problem of regional distribution center by means of Fuzzy graph theory. Finally, compares the solution of Fuzzy graph theory with the one of dynamic cluster analysis through an example, it shows that the use of Fuzzy graph theory in solving this problem can decrease the calculating scale and time evidently, especially when the Fuzzy equivalent matrix can not be ascertained, this algorithm is feasible and effective.","PeriodicalId":329390,"journal":{"name":"2010 International Conference on Management and Service Science","volume":" 19","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Study of Facility Location and Allocation Problem Based on Fuzzy Graph Theory\",\"authors\":\"Jinmei Wang, K. Zhuang\",\"doi\":\"10.1109/ICMSS.2010.5577858\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The location and allocation of regional distribution center is the key problem of logistics distribution network, it concerns that whether the distribution system can perform efficiently. The paper sets up a mathematic location model of generalized transportation costs on basis of economic scale, and then solves Location and Allocation Problem of regional distribution center by means of Fuzzy graph theory. Finally, compares the solution of Fuzzy graph theory with the one of dynamic cluster analysis through an example, it shows that the use of Fuzzy graph theory in solving this problem can decrease the calculating scale and time evidently, especially when the Fuzzy equivalent matrix can not be ascertained, this algorithm is feasible and effective.\",\"PeriodicalId\":329390,\"journal\":{\"name\":\"2010 International Conference on Management and Service Science\",\"volume\":\" 19\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Management and Service Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMSS.2010.5577858\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Management and Service Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSS.2010.5577858","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study of Facility Location and Allocation Problem Based on Fuzzy Graph Theory
The location and allocation of regional distribution center is the key problem of logistics distribution network, it concerns that whether the distribution system can perform efficiently. The paper sets up a mathematic location model of generalized transportation costs on basis of economic scale, and then solves Location and Allocation Problem of regional distribution center by means of Fuzzy graph theory. Finally, compares the solution of Fuzzy graph theory with the one of dynamic cluster analysis through an example, it shows that the use of Fuzzy graph theory in solving this problem can decrease the calculating scale and time evidently, especially when the Fuzzy equivalent matrix can not be ascertained, this algorithm is feasible and effective.