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Analysis of critical activities for GSCM implementation in mining supply chains in India using fuzzy analytical hierarchy process

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  • Kamalakanta Muduli
  • Akhilesh Barve

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.

Suggested Citation

  • Kamalakanta Muduli & Akhilesh Barve, 2015. "Analysis of critical activities for GSCM implementation in mining supply chains in India using fuzzy analytical hierarchy process," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 8(6), pages 767-797.
    • Handle: RePEc:ids:ijbexc:v:8:y:2015:i:6:p:767-797
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    Citations

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    Cited by:

    1. Sudhanshu Joshi & Manu Sharma & Rashmi Prava Das & Kamalakanta Muduli & Rakesh Raut & B. E. Narkhede & Himanshu Shee & Abhishek Misra, 2022. "Assessing Effectiveness of Humanitarian Activities against COVID-19 Disruption: The Role of Blockchain-Enabled Digital Humanitarian Network (BT-DHN)," Sustainability, MDPI, vol. 14(3), pages 1-22, February.
    2. Abdul Zubar Hameed & Jayakrishna Kandasamy & Sakthivel Aravind Raj & Majed Abubakr Baghdadi & Muhammad Atif Shahzad, 2022. "Sustainable Product Development Using FMEA ECQFD TRIZ and Fuzzy TOPSIS," Sustainability, MDPI, vol. 14(21), pages 1-29, November.

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