Service supply chain environmental performance evaluation using grey based hybrid MCDM approach

P. Chithambaranathan, Nachiappan Subramanian, Angappa Gunasekaran, Pl K. Palaniappan

Research output: Contribution to journalArticlepeer-review

92 Scopus citations

Abstract

Contribution 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.

Original languageEnglish (US)
Pages (from-to)163-176
Number of pages14
JournalInternational Journal of Production Economics
Volume166
DOIs
StatePublished - Aug 1 2015

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)
  • Economics and Econometrics
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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