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

Abstract

Abstract: 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.

Key words: fuzzy comprehensive evaluation method, indicator system, reverse logistics, recycling network

摘要： 以上汽集团所销售的电动汽车产生的报废动力电池为研究对象，建立了评价指标体系，并运用模糊综合评价法研究了废旧动力电池的逆向物流模式选择。研究发现，自营模式在总体上最适合上汽集团的电池回收。在具体指标方面，自营模式在经济和管理因素方面优势突出，外包模式在技术因素方面优势最为明显。最后，综合分析了上汽集团废旧动力电池回收的利益相关方和逆向物流过程所涉及的各个环节，建立了现阶段适合上汽集团发展的以自营模式为基础的复合型废旧动力电池逆向物流回收网络。

关键词: 模糊综合评价法, 指标体系, 逆向物流, 回收网络

CLC Number:

X76
X324

ZHU Lingyun;CHEN Ming. Research on Reverse Logistics Model and Network for Used Electric Vehicle Batteries[J]. China Mechanical Engineering.

朱凌云;陈铭. 废旧动力电池逆向物流模式及回收网络研究[J]. 中国机械工程.

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