{"title":"通过目标规划和满意度函数,研究了具有不精确质量输入的再制造规划","authors":"M. Mezghani, T. Loukil","doi":"10.1109/LOGISTIQUA.2011.5939413","DOIUrl":null,"url":null,"abstract":"The aim of this paper is to develop a Goal Programming (GP) formulation within an imprecise goals and inputs quality of product returns where the concept of satisfaction function will be utilized to introduce explicitly the manger's preferences into the remanufacturing aggregate planning model. In order to verify our proposed model, a numerical example is described to generate the best satisfying aggregate plan.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Remanufacturing planning with imprecise quality inputs through the Goal Programming and the satisfaction functions\",\"authors\":\"M. Mezghani, T. Loukil\",\"doi\":\"10.1109/LOGISTIQUA.2011.5939413\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this paper is to develop a Goal Programming (GP) formulation within an imprecise goals and inputs quality of product returns where the concept of satisfaction function will be utilized to introduce explicitly the manger's preferences into the remanufacturing aggregate planning model. In order to verify our proposed model, a numerical example is described to generate the best satisfying aggregate plan.\",\"PeriodicalId\":324478,\"journal\":{\"name\":\"2011 4th International Conference on Logistics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 4th International Conference on Logistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LOGISTIQUA.2011.5939413\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 4th International Conference on Logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LOGISTIQUA.2011.5939413","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Remanufacturing planning with imprecise quality inputs through the Goal Programming and the satisfaction functions
The aim of this paper is to develop a Goal Programming (GP) formulation within an imprecise goals and inputs quality of product returns where the concept of satisfaction function will be utilized to introduce explicitly the manger's preferences into the remanufacturing aggregate planning model. In order to verify our proposed model, a numerical example is described to generate the best satisfying aggregate plan.