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Open AccessArticle

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

by 1, 1,2,*, 1,2, 1,3 and 1
1
Department of Industrial Engineering, Chongqing University, Chongqing 400044, China
2
State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
3
Department of Electrical, Electronic, and Information Engineering “Guglielmo Marconi” (DEI), University of Bologna, Via Venezia, Cesena 52-47521, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Kannan Govindan
Sustainability 2016, 8(5), 482; https://doi.org/10.3390/su8050482
Received: 4 March 2016 / Revised: 11 May 2016 / Accepted: 11 May 2016 / Published: 16 May 2016
(This article belongs to the Special Issue How Better Decision-Making Helps to Improve Sustainability - Part II)
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. View Full-Text
Keywords: end-of-life vehicle (ELV); recycling service provider selection; FVIKOR; combined weight; Shannon Entropy; hybrid MCDM method end-of-life vehicle (ELV); recycling service provider selection; FVIKOR; combined weight; Shannon Entropy; hybrid MCDM method
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MDPI and ACS Style

Zhou, F.; Lin, Y.; Wang, X.; Zhou, L.; He, Y. ELV Recycling Service Provider Selection Using the Hybrid MCDM Method: A Case Application in China. Sustainability 2016, 8, 482. https://doi.org/10.3390/su8050482

AMA Style

Zhou F, Lin Y, Wang X, Zhou L, He Y. ELV Recycling Service Provider Selection Using the Hybrid MCDM Method: A Case Application in China. Sustainability. 2016; 8(5):482. https://doi.org/10.3390/su8050482

Chicago/Turabian Style

Zhou, Fuli; Lin, Yun; Wang, Xu; Zhou, Lin; He, Yandong. 2016. "ELV Recycling Service Provider Selection Using the Hybrid MCDM Method: A Case Application in China" Sustainability 8, no. 5: 482. https://doi.org/10.3390/su8050482

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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