Research on Reverse Logistics Model and Network for Used Electric Vehicle Batteries

被引：10
作者：
Zhu L. [1 ]
Chen M. [1 ]
机构：
[1] School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai
来源：
Zhongguo Jixie Gongcheng/China Mechanical Engineering | 2019年 / 30卷 / 15期
关键词：
Fuzzy comprehensive evaluation method; Indicator system; Recycling network; Reverse logistics;
D O I：
10.3969/j.issn.1004-132X.2019.15.009
中图分类号：
学科分类号：
摘要：
A study on the reverse logistics model and network of the used electric vehicle(EV) batteries which were from Shanghai Automotive Industry Corporation(SAIC) Group's EVs was carried out. The fuzzy comprehensive evaluation method was employed to establish the analytic model and indicator system for the choices of reverse logistics model and network building. The results indicate that the self-operated option is totally the most suitable model for SAIC Group's battery recycling. In terms of specific indicator systems, the self-operated model has outstanding advantages in economy and management factors, and the outsourcing model has obvious superiorities in technology factors. Finally, in accordance with the advantages and characteristics of the models, a self-operated model-based composite recycling network for SAIC Group's battery recycling was established with the analysis of stakeholders and the reverse logistics processes. © 2019, China Mechanical Engineering Magazine Office. All right reserved.
引用
收藏
页码：1828 / 1836
页数：8
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  • [1] [data] China Association of Automobile Manufacturers Expects New Energy Vehicle Sales to Increase by 40% in 2018
  • [2] China's New Energy Vehicle Sales Have the Highest Market Share in the World for Three Consecutive Years
  • [3] Lupi C., Pasquali M., Dell'Era A., Nickel and Cobalt Recycling from Lithiumion Batteries by Electrochemical Processes, Waste Management, 25, 2, pp. 215-220, (2005)
  • [4] Zhu L., Chen M., A SWOT and AHP Methodology for the Formulation of Development Strategies for China's Waste EV Battery Recycling Industry, Cascade Use in Technologies 2018, pp. 83-92, (2019)
  • [5] Reverse Logistics
  • [6] Wang G., Liu C., Research of Manufacturing Enterprise Reverse Logistics Pattern Decision-making Based on Fuzzy Comprehensive Method, Logistics Engineering and Management, 7, pp. 104-107, (2014)
  • [7] Ren M., Tong H., Selection of EPR Recovery Mode Based on Fuzzy Comprehensive Evaluation, Statistics& Decision, 15, pp. 42-44, (2009)
  • [8] Abdulrahman M.D., Gunasekaran A., Subramanian N., Critical Barriers in Implementing Reverse Logistics in the Chinese Manufacturing Sectors, International Journal of Production Economics, 147, 1, pp. 460-471, (2014)
  • [9] Ravi V., Shankar R., Tiwari M.K., Analyzing Alternatives in Reverse Logistics for End-of-Life Computers: ANP and Balanced Scorecard Approach, Computers & Industrial Engineering, 48, 2, pp. 327-356, (2005)
  • [10] Bronislaw G., Jedrzej T., Malgorzata J., Et al., Modelling of the Location of Vehicle Recycling Facilities: a Case Study in Poland, Resources, Conservation & Recycling, 80, 1, pp. 10-20, (2013)
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