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Identifying Critical Factors in the Eco-Efficiency of Remanufacturing Based on the Fuzzy DEMATEL Method

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  • Qianwang Deng

    (State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, China)

  • Xiahui Liu

    (State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, China)

  • Haolan Liao

    (State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, China)

Abstract

Remanufacturing can bring considerable economic and environmental benefits such as cost saving, conservation of energy and resources, and reduction of emissions. With the increasing awareness of sustainable manufacturing, remanufacturing gradually becomes the research priority. Most studies concentrate on the analysis of influencing factors, or the evaluation of the economic and environmental performance in remanufacturing, while little effort has been devoted to investigating the critical factors influencing the eco-efficiency of remanufacturing. Considering the current development of the remanufacturing industry in China, this paper proposes a set of factors influencing the eco-efficiency of remanufacturing and then utilizes a fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) method to establish relation matrixes reflecting the interdependent relationships among these factors. Finally, the contributions of each factor to eco-efficiency and mutual influence values among them are obtained, and critical factors in eco-efficiency of remanufacturing are identified. The results of the present work can provide theoretical supports for the government to make appropriate policies to improve the eco-efficiency of remanufacturing.

Suggested Citation

  • Qianwang Deng & Xiahui Liu & Haolan Liao, 2015. "Identifying Critical Factors in the Eco-Efficiency of Remanufacturing Based on the Fuzzy DEMATEL Method," Sustainability, MDPI, vol. 7(11), pages 1-21, November.
  • Handle: RePEc:gam:jsusta:v:7:y:2015:i:11:p:15527-15547:d:59183
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    References listed on IDEAS

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    Cited by:

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    2. Huihui Liu & Xiaohang Yue & Hui Ding & G. Keong Leong, 2017. "Optimal Remanufacturing Certification Contracts in the Electrical and Electronic Industry," Sustainability, MDPI, vol. 9(4), pages 1-17, March.
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    5. Zifeng Liang & Manli Zhang & Qingduo Mao & Bingxin Yu & Ben Ma, 2018. "Improvement of Eco-Efficiency in China: A Comparison of Mandatory and Hybrid Environmental Policy Instruments," IJERPH, MDPI, vol. 15(7), pages 1-20, July.
    6. Srđan Dimić & Dragan Pamučar & Srđan Ljubojević & Boban Đorović, 2016. "Strategic Transport Management Models—The Case Study of an Oil Industry," Sustainability, MDPI, vol. 8(9), pages 1-27, September.
    7. Byung Duk Song & Young Dae Ko, 2017. "Effect of Inspection Policies and Residual Value of Collected Used Products: A Mathematical Model and Genetic Algorithm for a Closed-Loop Green Manufacturing System," Sustainability, MDPI, vol. 9(9), pages 1-14, September.
    8. 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.
    9. Huihui Liu & Xiaolin Wu & Desheng Dou & Xu Tang & G. Keong Leong, 2018. "Determining Recycling Fees and Subsidies in China’s WEEE Disposal Fund with Formal and Informal Sectors," Sustainability, MDPI, vol. 10(9), pages 1-14, August.

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