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Service supply chain environmental performance evaluation using grey based hybrid MCDM approach
journal contribution
posted on 2023-06-09, 04:16 authored by P Chithambaranathan, Nachiappan SubramanianNachiappan Subramanian, Angappa Gunasekaran, PL K PalaniappanContribution of service supply chains to economic growth is significant and recent climate change issues expect services to be greener. The entire supply chain will be green if their suppliers adopt the requirements of the focal company and customers. Hence, it is essential that every organization constantly analyses and monitors the green performance of different members of the supply chains. Furthermore comprehensive studies have been carried out to identify criteria to evaluate green performance of manufacturing supply chain. However there is lack of studies to identify criteria and evaluate the performance of service supply chain. Service supply chain green performance evaluation necessitates methods to consider both qualitative and quantitative factors. Many conventional multi- criteria decision making (MCDM) methods have drawbacks such as inability to capture realistic fuzziness in decision making (human judgment), inadaptability to different levels of measurement, complexity in calculation and requirement of intricate details, which render them unsuitable for the task of environmental performance evaluation of service supply chains. In this paper, a grey based hybrid framework for evaluating the environmental performance of service supply chains is proposed by integrating grey based method with ELECTRE and VIKOR approaches. Two case studies were carried out to understand the effectiveness of criteria and method to evaluate environmental performance of service supply chains in a developing country context.
History
Publication status
- Published
Journal
International Journal of Production EconomicsISSN
0925-5273Publisher
ElsevierExternal DOI
Volume
166Page range
163-176Department affiliated with
- Business and Management Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2016-11-29Usage metrics
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