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A robust hybrid decision model to evaluate critical factors of reverse logistics implementation using Grey-DEMATEL framework

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  • Chandra Prakash Garg

    (Indian Institute of Management Rohtak)

Abstract

The rising electronics waste (e-waste), increased pollution, disposal issues and exploitation of natural resources have augmented ecological and resource scarcity problems. These problems can be abate by adopting reverse logistics (RL) implementation so, the environmental protection and resource recovery options such as reuse, refurbish, recycle, remanufacturing and proper disposal can be executed to deal and manage with the e-waste. The goal of this research work is to identifies, evaluate and analyze the factors for successful implementation of RL practices. Fifteen critical RL factors are recognized from pertinent literature and endorsed by industry professionals. This paper utilized Grey based Decision Making Trial and Evaluation Laboratory (DEMATEL) approach to sort the identified factors into cause and effect clusters. Grey DEMATEL resolves the problem of data uncertainty and impreciseness involves in decision making in analyzing the factors. The results of the study found that 11 RL factors came into causal cluster as vital factors and 4 RL factors into the effect cluster as fundamental problems factors. Among causal cluster, the highest ranked four influential factors are Top management commitment (RLF1) with weightage value 0.7604, RLF2 i.e. enforced government regulations with weightage value 0.6549, RLF6 i.e. environmental/green concerns factor with weightage value 0.5678 and RLF8 i.e. Waste minimization (especially e-waste) factor with weightage value 0.5113 are respectively. Similarly, among effect cluster, the most easily influenced two factors are “Market and competition factors” (RLF15) with weightage value (− 1.1207) and “Increased e-commerce” (RLF13) with weightage value (− 1.2855) respectively. A case example of an Indian electronics firm is taken to showcase the application of the proposed model. This paper can help supply chain managers and analysts in superior understanding of critical factors and increase the chances of practicing more effective and successful RL implementation in electronics industry. At the end, few key country and industry-specific recommendations are offered to support major decision for management and policy makers to embrace and successfully accomplish the reverse supply chain practices in India.

Suggested Citation

  • Chandra Prakash Garg, 2020. "A robust hybrid decision model to evaluate critical factors of reverse logistics implementation using Grey-DEMATEL framework," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 837-873, September.
  • Handle: RePEc:spr:opsear:v:57:y:2020:i:3:d:10.1007_s12597-020-00453-w
    DOI: 10.1007/s12597-020-00453-w
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    References listed on IDEAS

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    1. Srivastava, Samir K., 2008. "Network design for reverse logistics," Omega, Elsevier, vol. 36(4), pages 535-548, August.
    2. Amini, M. Mehdi & Retzlaff-Roberts, Donna & Bienstock, Carol C., 2005. "Designing a reverse logistics operation for short cycle time repair services," International Journal of Production Economics, Elsevier, vol. 96(3), pages 367-380, June.
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    8. Mahtani, Umesh S. & Garg, Chandra Prakash, 2018. "An analysis of key factors of financial distress in airline companies in India using fuzzy AHP framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 87-102.
    9. Rahman, Shams & Subramanian, Nachiappan, 2012. "Factors for implementing end-of-life computer recycling operations in reverse supply chains," International Journal of Production Economics, Elsevier, vol. 140(1), pages 239-248.
    10. Chandra Prakash & M.K. Barua, 2017. "Flexible modelling approach for evaluating reverse logistics adoption barriers using fuzzy AHP and IRP framework," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 30(2), pages 151-171.
    11. Daniel R. Cooper & Timothy G. Gutowski, 2017. "The Environmental Impacts of Reuse: A Review," Journal of Industrial Ecology, Yale University, vol. 21(1), pages 38-56, February.
    12. Vikas Singh Sengar & Chandra Prakash Garg & T. Bangar Raju, 2018. "Assessment of sustainable initiatives in Indian ports using AHP framework," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 16(1), pages 110-126.
    13. Zikopoulos, Christos & Tagaras, George, 2007. "Impact of uncertainty in the quality of returns on the profitability of a single-period refurbishing operation," European Journal of Operational Research, Elsevier, vol. 182(1), pages 205-225, October.
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    15. Himanshu Gupta & Chandra Prakash & Vinayak Vishwakarma & Mukesh Kumar Barua, 2017. "Evaluating TQM adoption success factors to improve Indian MSMEs performance using fuzzy DEMATEL approach," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 21(2), pages 187-202.
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    Cited by:

    1. Chandra Prakash Garg & Vishal Kashav & Xuemuge Wang, 2023. "Evaluating sustainability factors of green ports in China under fuzzy environment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 7795-7821, August.
    2. Dimas Haki Prayogo & Roman Domanski & Paulina Golinska-Dawson, 2024. "The Key Factors for Improving Returns Management in E-Commerce in Indonesia from Customers’ Perspectives—An Analytic Hierarchy Process Approach," Sustainability, MDPI, vol. 16(17), pages 1-18, August.
    3. Vishal Kashav & Chandra Prakash Garg & Rupesh Kumar, 2023. "Ranking the strategies to overcome the barriers of the maritime supply chain (MSC) of containerized freight under fuzzy environment," Annals of Operations Research, Springer, vol. 324(1), pages 1223-1268, May.

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