{"title":"AS/RS装卸路径优化","authors":"Guiliang Zhou, Fei Tang","doi":"10.1109/LEITS.2010.5665003","DOIUrl":null,"url":null,"abstract":"The paper firstly analyzes the ware location assignment policy in Automated Storage and Retrieval Systems, and then optimizes the loading-unloading path. It mainly optimizes the shelves number and stacker operating order, and solves the problem of stacker operating order with the genetic algorithm. The research would optimize the loading-unloading path of the AS/RS greatly and improve the loading-unloading efficiency.","PeriodicalId":173716,"journal":{"name":"2010 International Conference on Logistics Engineering and Intelligent Transportation Systems","volume":"438-439 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Loading-Unloading Path Optimization of the AS/RS\",\"authors\":\"Guiliang Zhou, Fei Tang\",\"doi\":\"10.1109/LEITS.2010.5665003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper firstly analyzes the ware location assignment policy in Automated Storage and Retrieval Systems, and then optimizes the loading-unloading path. It mainly optimizes the shelves number and stacker operating order, and solves the problem of stacker operating order with the genetic algorithm. The research would optimize the loading-unloading path of the AS/RS greatly and improve the loading-unloading efficiency.\",\"PeriodicalId\":173716,\"journal\":{\"name\":\"2010 International Conference on Logistics Engineering and Intelligent Transportation Systems\",\"volume\":\"438-439 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Logistics Engineering and Intelligent Transportation Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LEITS.2010.5665003\",\"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 Engineering and Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LEITS.2010.5665003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper firstly analyzes the ware location assignment policy in Automated Storage and Retrieval Systems, and then optimizes the loading-unloading path. It mainly optimizes the shelves number and stacker operating order, and solves the problem of stacker operating order with the genetic algorithm. The research would optimize the loading-unloading path of the AS/RS greatly and improve the loading-unloading efficiency.