{"title":"基于主成分分析的煤炭企业供应物流配送中心选址研究","authors":"Wensheng Wang, Qingyang Zhao","doi":"10.1109/ICLSIM.2010.5461434","DOIUrl":null,"url":null,"abstract":"The location of logistics distribution center holds an very important position in the coal enterprise supply logistics system planning, the decision-makers need to consider various factors comprehensively. The traditional location method considers little about the interaction between the indexes during the location process. This paper introduce the principal component analysis (PCA)method in the location of logistics, and use this method to eliminate the interaction of the evaluation indexes, reduce the workload of index selection, then select and evaluate on a number of candidate schemes combine with expert estimation and related evaluation index. Finally, the location of logistics distribution center for M coal enterprise proved the effectiveness of the method.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Studies on supply logistics distribution center location based on principal component analysis for coal enterprise\",\"authors\":\"Wensheng Wang, Qingyang Zhao\",\"doi\":\"10.1109/ICLSIM.2010.5461434\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The location of logistics distribution center holds an very important position in the coal enterprise supply logistics system planning, the decision-makers need to consider various factors comprehensively. The traditional location method considers little about the interaction between the indexes during the location process. This paper introduce the principal component analysis (PCA)method in the location of logistics, and use this method to eliminate the interaction of the evaluation indexes, reduce the workload of index selection, then select and evaluate on a number of candidate schemes combine with expert estimation and related evaluation index. Finally, the location of logistics distribution center for M coal enterprise proved the effectiveness of the method.\",\"PeriodicalId\":249102,\"journal\":{\"name\":\"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICLSIM.2010.5461434\",\"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 Logistics Systems and Intelligent Management (ICLSIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICLSIM.2010.5461434","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Studies on supply logistics distribution center location based on principal component analysis for coal enterprise
The location of logistics distribution center holds an very important position in the coal enterprise supply logistics system planning, the decision-makers need to consider various factors comprehensively. The traditional location method considers little about the interaction between the indexes during the location process. This paper introduce the principal component analysis (PCA)method in the location of logistics, and use this method to eliminate the interaction of the evaluation indexes, reduce the workload of index selection, then select and evaluate on a number of candidate schemes combine with expert estimation and related evaluation index. Finally, the location of logistics distribution center for M coal enterprise proved the effectiveness of the method.