Title: Analysis of critical activities for GSCM implementation in mining supply chains in India using fuzzy analytical hierarchy process
Authors: Kamalakanta Muduli; Akhilesh Barve
Addresses: School of Mechanical Sciences, IIT Bhubaneswar, Odissa, 751013, India ' School of Mechanical Sciences, IIT Bhubaneswar, Samantpuri, Bhubaneswar, Odissa, 751013, India
Abstract: Strong evidence exists in literature regarding improved organisational performance in economical and environmental front due to adoption of green supply chain management (GSCM) practices. Motivated by this, few bigger Indian mining industries have started adopting GSCM practices with a view not only to improve their performance but also to maintain a steady operation that is free from government and social interruptions. One of the reasons behind poor rate of GSCM adoption in Indian mining industries is lack of sector specific GSCM success criteria. In order to bridge this gap this paper makes a novel approach to establish a validated set of GSCM success activities. This paper further employs fuzzy analytical hierarchy process (FAHP) to evaluate the priority weights of these success activities which could be helpful for the decision makers in assessing and improving their GSCM effectiveness.
Keywords: green SCM; supply chain management; GSCM effectiveness; mining industry; FAHP; factor analysis; mining supply chains; India; fuzzy AHP; analytical hierarchy process; green supply chains.
International Journal of Business Excellence, 2015 Vol.8 No.6, pp.767 - 797
Available online: 09 Oct 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article