Mohamed E. Ragheb, M. A. Hassan, W. Al-Atabany, A. Seddik, M. El-Wakad
{"title":"Fuzzy Logic Approach For Medical Equipment Supplier Evaluation and Selection","authors":"Mohamed E. Ragheb, M. A. Hassan, W. Al-Atabany, A. Seddik, M. El-Wakad","doi":"10.1109/CIBEC.2018.8641810","DOIUrl":null,"url":null,"abstract":"One of the most critical activities in the management of purchasing process is supplier selection which is a decision making activity characterized by being a multi-criteria based activity. This paper proposes a multi-criteria fuzzy based system to create a short listing of the most suitable suppliers. Only the members of this short listing would be allowed to request for offers in a tender. The proposed system uses three main criteria and twenty sub-criteria. Dataset collected from five different companies is used to validate the system against experts’ opinions. Results show the robustness of the proposed system in creating a short listing for the most suitable medical suppliers with an average error of 4.45 ± 4.06.","PeriodicalId":407809,"journal":{"name":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 9th Cairo International Biomedical Engineering Conference (CIBEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIBEC.2018.8641810","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
One of the most critical activities in the management of purchasing process is supplier selection which is a decision making activity characterized by being a multi-criteria based activity. This paper proposes a multi-criteria fuzzy based system to create a short listing of the most suitable suppliers. Only the members of this short listing would be allowed to request for offers in a tender. The proposed system uses three main criteria and twenty sub-criteria. Dataset collected from five different companies is used to validate the system against experts’ opinions. Results show the robustness of the proposed system in creating a short listing for the most suitable medical suppliers with an average error of 4.45 ± 4.06.