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A DEA Model for Systematic Screening of Sustainable Suppliers with Uncertainty

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dc.contributor.author Agarwal, Shivi
dc.contributor.author Mathur, Trilok
dc.contributor.author Routroy, Srikanta
dc.date.accessioned 2023-08-08T05:33:22Z
dc.date.available 2023-08-08T05:33:22Z
dc.date.issued 2020
dc.identifier.uri http://solidstatetechnology.us/index.php/JSST/article/view/3759
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11214
dc.description.abstract Suppliers play a vital role to create a sustainable and environment friendly supply chain of manufacturers. The manufacturer must have a systematic screening of available sustainable suppliers along various dimensions including their environmental sustainability dimension so that they can make the right outsourcing decision. It was observed that there are quantitative, qualitative factors and vagueness of experts' opinions involved in the screening, so a modified integrated model of Data Envelopment Analysis (DEA) integrated with the concepts of fuzzy logic is proposed which can handle the above factors for studying, analyzing, comparing and screening the sustainable suppliers. To describe the salient features of the proposed model a numerical illustration as case study is presented. en_US
dc.language.iso en en_US
dc.publisher Solid State Technology en_US
dc.subject Mathematics en_US
dc.subject Data Envelopment Analysis (DEA) en_US
dc.subject Systematic Screening en_US
dc.title A DEA Model for Systematic Screening of Sustainable Suppliers with Uncertainty en_US
dc.type Article en_US


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