{"title":"Uncertainty and Ambiguity Management in Supplier Selection using Fuzzy Analytical Model","authors":"Bhagyashree Mohanta, Pragyan Nanda, S. Patnaik","doi":"10.1109/ICDSBA48748.2019.00044","DOIUrl":null,"url":null,"abstract":"With the advancement of technology and the integration of global market, makes the supply chain more complex, uncertain and ambiguous that may affect supplier selection and monitoring process. This study is focused on the concept to present a model to identify the critical supplier selection criteria which are important across industries and across purchasing contexts. In this paper, we studied various criticality associated with the supplier selection process and have introduced a Fuzzy Analytical Model i.e. Fuzzy Analytic Hierarchy Process based on Enhanced Multi Criteria Decision Making approach for efficient supplier selection and monitoring by evaluating the priorities of different criteria. Here, we identified and selected different criteria based on their priorities for supplier selection. The proposed model efficiently handles the aforesaid risks associated with the criteria selected for decision making. It also helps the managers or decision makers to focus on the most potential Critical Success Factors (CSFs) for the profitable growth of any organization.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSBA48748.2019.00044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the advancement of technology and the integration of global market, makes the supply chain more complex, uncertain and ambiguous that may affect supplier selection and monitoring process. This study is focused on the concept to present a model to identify the critical supplier selection criteria which are important across industries and across purchasing contexts. In this paper, we studied various criticality associated with the supplier selection process and have introduced a Fuzzy Analytical Model i.e. Fuzzy Analytic Hierarchy Process based on Enhanced Multi Criteria Decision Making approach for efficient supplier selection and monitoring by evaluating the priorities of different criteria. Here, we identified and selected different criteria based on their priorities for supplier selection. The proposed model efficiently handles the aforesaid risks associated with the criteria selected for decision making. It also helps the managers or decision makers to focus on the most potential Critical Success Factors (CSFs) for the profitable growth of any organization.