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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1717

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contributor.authorSahu, N K-
contributor.authorDatta, S-
contributor.authorMahapatra, S K-
date.accessioned2012-06-11T09:24:09Z-
date.available2012-06-11T09:24:09Z-
date.issued2012-05-
identifier.citationNational Conference on Industrial Mathematics and Soft Computing (NCIMSC-2012) 26th -27th May, 2012, organized by Department of Mathematics, School of Applied Sciences, KIIT University, Bhubaneswar, Orissa.en
identifier.urihttp://hdl.handle.net/2080/1717-
descriptionCopyright belongs to proceeding publisheren
description.abstractGreen Supply Chain Management (GSCM) is increasingly becoming a necessity for industries to compete globally, and is now a part of the majority of large organization’s structure. GSCM can be defined as ‘Integrating environment thinking into supply chain management, including product design, material sourcing and selection, manufacturing processes, delivery of the final product to the consumers, and end-of-life management of the product after its useful life’ (Srivastava, 2007). While implementing green practices in the organizational supply chain management, evaluation of green performance metric is indeed necessary. Such an assessment would help the industries to assess their existing status of green performance practices, to compare different industries those are adapting green practices and also to identify areas which require future improvement towards successful ‘green implementation’. In this context, the present work introduces an appraisement platform to evaluate green supply chain performance extent, in fuzzy environment. In order to deal with subjective qualitative green performance attributes; the concept of fuzzy numbers has been utilized. Theory of generalized positive triangular fuzzy numbers has been explored to facilitate such an appraisement module. Apart from estimating overall performance index; the proposed appraisement platform helps in identifying ill-performing areas which necessarily require future attention to prosper. A case study has also been presented.en
format.extent97723 bytes-
format.mimetypeapplication/pdf-
language.isoen-
subjectGreen Supply Chain Management (GSCM)en
subjectFuzzy numbersen
titleA Fuzzy Based Green Supply Chain Performance Appraisement Platformen
typeArticleen
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