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A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers

Author

Listed:
  • Arunodaya Raj Mishra

    (Department of Mathematics, Government College, Satna, Jaitwara 485221, Madhya Pradesh, India)

  • Pratibha Rani

    (Department of Mathematics, National Institute of Technology, Warangal 506004, Telangana, India)

  • Raghunathan Krishankumar

    (Department of Computing, Sastra University, Thanjavur 613401, Tamil Nadu, India)

  • Edmundas Kazimieras Zavadskas

    (Institute of Sustainable Construction, Vilnius Gediminas Technical University, Sauletekio Ave. 11, LT-10223 Vilnius, Lithuania)

  • Fausto Cavallaro

    (Department of Economics, University of Molise, Via De Sanctis, 86100 Campobasso, Italy)

  • Kattur S. Ravichandran

    (Department of Computing, Sastra University, Thanjavur 613401, Tamil Nadu, India
    Administrative Area, Rajiv Gandhi National Institute of Youth Development, Sriperumbudur 602105, Tamil Nadu, India)

Abstract

Customers’ pressure, social responsibility, and government regulations have motivated the enterprises to consider the reverse logistics (RL) in their operations. Recently, companies frequently outsource their RL practices to third-party reverse logistics providers (3PRLPs) to concentrate on their primary concern and diminish costs. However, to select the suitable 3PRLP candidate requires a multi-criteria decision making (MCDM) process involving uncertainty owing to the presence of many associated aspects. In order to choose the most appropriate sustainable 3PRLP (S3PRLP), we introduce a hybrid approach based on the classical Combined Compromise Solution (CoCoSo) method and propose a discrimination measure within the context of hesitant fuzzy sets (HFSs). This approach offers a new process based on the discrimination measure for evaluating the criteria weights. The efficiency and practicability of the present approach are numerically demonstrated by solving an illustrative case study of S3PRLPs selection under a hesitant fuzzy environment. Moreover, sensitivity and comparative studies are presented to highlight the robustness and strength of the introduced methodology. The result of this work concludes that the introduced methodology can recommend a more feasible performance when facing with determinate and inconsistent knowledge and qualitative data.

Suggested Citation

  • Arunodaya Raj Mishra & Pratibha Rani & Raghunathan Krishankumar & Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Kattur S. Ravichandran, 2021. "A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers," Sustainability, MDPI, vol. 13(4), pages 1-24, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2064-:d:499442
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    References listed on IDEAS

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    3. Harshitha Urs Ajjipura Shankar & Udaya Kumara Kodipalya Nanjappa & M. D. Alsulami & Ballajja C. Prasannakumara, 2022. "A Fuzzy AHP-Fuzzy TOPSIS Urged Baseline Aid for Execution Amendment of an Online Food Delivery Affability," Mathematics, MDPI, vol. 10(16), pages 1-24, August.
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    5. Haolun Wang, 2022. "Sustainable Circular Supplier Selection in the Power Battery Industry Using a Linguistic T-Spherical Fuzzy MAGDM Model Based on the Improved ARAS Method," Sustainability, MDPI, vol. 14(13), pages 1-26, June.
    6. Sindhwani, Rahul & Singh, Punj Lata & Behl, Abhishek & Afridi, Mohd. Shayan & Sammanit, Debaroti & Tiwari, Aviral Kumar, 2022. "Modeling the critical success factors of implementing net zero emission (NZE) and promoting resilience and social value creation," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    7. Li Bai & F. Javier Sendra Garcia & Arunodaya Raj Mishra, 2022. "RETRACTED ARTICLE: Adoption of the sustainable circular supply chain under disruptions risk in manufacturing industry using an integrated fuzzy decision-making approach," Operations Management Research, Springer, vol. 15(3), pages 743-759, December.
    8. Sindhwani, Rahul & Afridi, Shayan & Kumar, Anil & Banaitis, Audrius & Luthra, Sunil & Singh, Punj Lata, 2022. "Can industry 5.0 revolutionize the wave of resilience and social value creation? A multi-criteria framework to analyze enablers," Technology in Society, Elsevier, vol. 68(C).
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