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ELV Recycling Service Provider Selection Using the Hybrid MCDM Method: A Case Application in China

Author

Listed:
  • Fuli Zhou

    (Department of Industrial Engineering, Chongqing University, Chongqing 400044, China)

  • Yun Lin

    (Department of Industrial Engineering, Chongqing University, Chongqing 400044, China
    State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China)

  • Xu Wang

    (Department of Industrial Engineering, Chongqing University, Chongqing 400044, China
    State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China)

  • Lin Zhou

    (Department of Industrial Engineering, Chongqing University, Chongqing 400044, China
    Department of Electrical, Electronic, and Information Engineering “Guglielmo Marconi” (DEI), University of Bologna, Via Venezia, Cesena 52-47521, Italy)

  • Yandong He

    (Department of Industrial Engineering, Chongqing University, Chongqing 400044, China)

Abstract

With the rapid depletion of natural resources and undesired environmental changes globally, more interest has been shown in the research of green supply chain practices, including end-of-life vehicle (ELV) recycling. The ELV recycling is mandatory for auto-manufacturers by legislation for the purpose of minimizing potential environmental damages. The purpose of the present research is to determine the best choice of ELV recycling service provider by employing an integrating hybrid multi-criteria decision making (MCDM) method. In this research, economic, environmental and social factors are taken into consideration. The linguistic variables and trapezoidal fuzzy numbers (TFNs) are applied into this evaluation to deal with the vague and qualitative information. With the combined weight calculation of criteria based on fuzzy aggregation and Shannon Entropy techniques, the normative multi-criteria optimization technique (FVIKOR method) is applied to explore the best solution. An application was performed based on the proposed hybrid MCDM method, and sensitivity analysis was conducted on different decision making scenarios. The present study provides a decision-making approach on ELV recycling business selection under sustainability and green philosophy with high robustness and easy implementation.

Suggested Citation

  • Fuli Zhou & Yun Lin & Xu Wang & Lin Zhou & Yandong He, 2016. "ELV Recycling Service Provider Selection Using the Hybrid MCDM Method: A Case Application in China," Sustainability, MDPI, vol. 8(5), pages 1-22, May.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:5:p:482-:d:70172
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    References listed on IDEAS

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    Cited by:

    1. Fatin Amrina A. Rashid & Hawa Hishamuddin & Nizaroyani Saibani & Mohd Radzi Abu Mansor & Zambri Harun, 2022. "A Review of Supply Chain Uncertainty Management in the End-of-Life Vehicle Industry," Sustainability, MDPI, vol. 14(19), pages 1-28, October.
    2. Aleksander Banasik & Jacqueline M. Bloemhof-Ruwaard & Argyris Kanellopoulos & G. D. H. Claassen & Jack G. A. J. Vorst, 2018. "Multi-criteria decision making approaches for green supply chains: a review," Flexible Services and Manufacturing Journal, Springer, vol. 30(3), pages 366-396, September.
    3. Ksenija Denčić-Mihajlov & Mladen Krstić & Dejan Spasić, 2020. "Sensitivity Analysis as a Tool in Environmental Policy for Sustainability: The Case of Waste Recycling Projects in the Republic of Serbia," Sustainability, MDPI, vol. 12(19), pages 1-19, September.
    4. Junwei Gan & Li Luo, 2017. "Using DEMATEL and Intuitionistic Fuzzy Sets to Identify Critical Factors Influencing the Recycling Rate of End-Of-Life Vehicles in China," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    5. Simic, Vladimir, 2016. "End-of-life vehicles allocation management under multiple uncertainties: An interval-parameter two-stage stochastic full-infinite programming approach," Resources, Conservation & Recycling, Elsevier, vol. 114(C), pages 1-17.

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