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http://hdl.handle.net/2080/1717
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| DC Field | Value | Language |
|---|
| contributor.author | Sahu, N K | - |
| contributor.author | Datta, S | - |
| contributor.author | Mahapatra, S K | - |
| date.accessioned | 2012-06-11T09:24:09Z | - |
| date.available | 2012-06-11T09:24:09Z | - |
| date.issued | 2012-05 | - |
| identifier.citation | National 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.uri | http://hdl.handle.net/2080/1717 | - |
| description | Copyright belongs to proceeding publisher | en |
| description.abstract | Green 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.extent | 97723 bytes | - |
| format.mimetype | application/pdf | - |
| language.iso | en | - |
| subject | Green Supply Chain Management (GSCM) | en |
| subject | Fuzzy numbers | en |
| title | A Fuzzy Based Green Supply Chain Performance Appraisement Platform | en |
| type | Article | en |
| Appears in Collections: | Conference Papers
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Files in This Item:
| File |
Description |
Size | Format |
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| Paper.pdf | | 95Kb | Adobe PDF | View/Open |
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