{"title":"供应链库存优化算法及关键因素研究","authors":"Min Wu, Kongyu Yang","doi":"10.1109/ICACI.2012.6463200","DOIUrl":null,"url":null,"abstract":"The paper reviews the technology and methods used in optimizing supply chain inventory, and summarizes the common inventory optimization algorithms - the mathematical analysis and heuristic algorithms. At last, it points out the several key factors of optimizing supply chain inventory - the lead time, the credit of enterprises and the fuzzy level of some parameters during the optimization process, and indicates its trends.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Research on the algorithms and key factors in optimizing supply chain inventory\",\"authors\":\"Min Wu, Kongyu Yang\",\"doi\":\"10.1109/ICACI.2012.6463200\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper reviews the technology and methods used in optimizing supply chain inventory, and summarizes the common inventory optimization algorithms - the mathematical analysis and heuristic algorithms. At last, it points out the several key factors of optimizing supply chain inventory - the lead time, the credit of enterprises and the fuzzy level of some parameters during the optimization process, and indicates its trends.\",\"PeriodicalId\":404759,\"journal\":{\"name\":\"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)\",\"volume\":\"103 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACI.2012.6463200\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI.2012.6463200","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the algorithms and key factors in optimizing supply chain inventory
The paper reviews the technology and methods used in optimizing supply chain inventory, and summarizes the common inventory optimization algorithms - the mathematical analysis and heuristic algorithms. At last, it points out the several key factors of optimizing supply chain inventory - the lead time, the credit of enterprises and the fuzzy level of some parameters during the optimization process, and indicates its trends.