{"title":"逆向物流的双向供应链优化模型","authors":"S.M. Gupta, P. Veerakamolmal","doi":"10.1109/ISEE.2000.857658","DOIUrl":null,"url":null,"abstract":"This paper focuses an supply chain optimization system for reverse logistics. The solution approach employs an adaptation of the Materials Requirements Planning (MRP) technique, termed as components requirements planning, to determine the number of components needed to remanufacture products in each time period throughout the planning horizon.","PeriodicalId":288255,"journal":{"name":"Proceedings of the 2000 IEEE International Symposium on Electronics and the Environment (Cat. No.00CH37082)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"A bi-directional supply chain optimization model for reverse logistics\",\"authors\":\"S.M. Gupta, P. Veerakamolmal\",\"doi\":\"10.1109/ISEE.2000.857658\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses an supply chain optimization system for reverse logistics. The solution approach employs an adaptation of the Materials Requirements Planning (MRP) technique, termed as components requirements planning, to determine the number of components needed to remanufacture products in each time period throughout the planning horizon.\",\"PeriodicalId\":288255,\"journal\":{\"name\":\"Proceedings of the 2000 IEEE International Symposium on Electronics and the Environment (Cat. No.00CH37082)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2000 IEEE International Symposium on Electronics and the Environment (Cat. No.00CH37082)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISEE.2000.857658\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2000 IEEE International Symposium on Electronics and the Environment (Cat. No.00CH37082)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISEE.2000.857658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A bi-directional supply chain optimization model for reverse logistics
This paper focuses an supply chain optimization system for reverse logistics. The solution approach employs an adaptation of the Materials Requirements Planning (MRP) technique, termed as components requirements planning, to determine the number of components needed to remanufacture products in each time period throughout the planning horizon.