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Flexible modelling approach for evaluating reverse logistics adoption barriers using fuzzy AHP and IRP framework

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  • Chandra Prakash
  • M.K. Barua

Abstract

Due to environmental concern, enforced legislation, rapid change in technology and corporate citizenship reverse logistics practices are growing. Reverse logistics (RL) has been seen as a part of sustainable development but presence of barriers make RL implementation difficult and hence reduce the success rate. To increase RL adoption, a flexible decision making approach is needed which could evaluate barriers explicitly. This paper proposes a flexible methodology based on fuzzy analytic hierarchy process (FAHP) and interpretative ranking process (IRP) to evaluate, prioritise and compare the barriers of RL adoption. This IRP method describes the logic for dominance of one barrier over the other by each pair-wise comparison. A numerical analysis of electronics industry of India is presented to demonstrate the use of the proposed flexible method. Electronics companies should mitigate the effect of these barriers with higher priority for effective RL adoption by employing flexible and robust strategies in their operations.

Suggested Citation

  • 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.
    • Handle: RePEc:ids:ijores:v:30:y:2017:i:2:p:151-171
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    Citations

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    Cited by:

    1. Muhammad Hamza Naseem & Jiaqi Yang & Ziquan Xiang, 2021. "Prioritizing the Solutions to Reverse Logistics Barriers for the E-Commerce Industry in Pakistan Based on a Fuzzy AHP-TOPSIS Approach," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
    2. 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.
    3. Sushil, 2020. "Interpretive multi-criteria ranking of production systems with ordinal weights and transitive dominance relationships," Annals of Operations Research, Springer, vol. 290(1), pages 677-695, July.
    4. 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.
    5. Kamoonpuri, Sana Zehra & Sengar, Anita, 2023. "Hi, May AI help you? An analysis of the barriers impeding the implementation and use of artificial intelligence-enabled virtual assistants in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    6. Wen-Kuo Chen & Venkateswarlu Nalluri & Man-Li Lin & Ching-Torng Lin, 2021. "Identifying Decisive Socio-Political Sustainability Barriers in the Supply Chain of Banking Sector in India: Causality Analysis Using ISM and MICMAC," Mathematics, MDPI, vol. 9(3), pages 1-23, January.
    7. 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.
    8. Chandra Prakash Garg & Archana Sharma, 2020. "Sustainable outsourcing partner selection and evaluation using an integrated BWM–VIKOR framework," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 1529-1557, February.

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