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作者:

Ren, Huanyu (Ren, Huanyu.) | Du, Jianbang (Du, Jianbang.) | Wang, Chao (Wang, Chao.) (学者:王超) | Li, Zhenglong (Li, Zhenglong.) | Yue, Xiongping (Yue, Xiongping.)

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摘要:

The production and sales of electric vehicle lithium-ion batteries (EV LIB) have experienced rapid growth in the past decade, resulting in an extensive and intricate supply chain network (SCN). The SCNs orchestrated by different focal firms are interdependent due to the joint suppliers and customers. This interdependence, coupled with geographical segmentation, introduces vulnerability to the global EV LIB SCN. Focal firms need management insights from the multiplexity of the global EV LIB SCN to address the potential vulnerability. This investigation utilizes the empirical data regarding the supplier-buyer relationships of the top six EV LIB manufacturers in 2020 to construct the multilayered EV LIB SCN. Then, a focal firm-specific analysis is conducted to explore the multiplexity of the global EV LIB SCN, including identifying the influential firms, measuring the structure of SCNs led by different focal firms, and distinguishing the dependence and discrepancies of different focal firms' SCNs. Furthermore, an SCN vulnerability (SCNV) index was designed to assess the vulnerability of such a multilayered SCN in two disruption scenarios, i.e., single-country blockade and intercountry blockade. The structural analysis can assist focal firms in allocating vulnerability-coping resources more effectively. Besides, the assessment of SCNV can assist managers in identifying potential risk sources beyond their own SCNs.

关键词:

multiplex characteristics Indexes vulnerability measurement supply chain network (SCN) Multiplexing electric vehicle lithium-ion batteries (EV LIBs) Electric vehicles Particle measurements Supply chains Disruption risk Companies Production

作者机构:

  • [ 1 ] [Ren, Huanyu]Jimei Univ, Nav Inst, Xiamen 361000, Peoples R China
  • [ 2 ] [Du, Jianbang]Texas A&M Transportat Inst, Bryan, TX 77807 USA
  • [ 3 ] [Wang, Chao]Beijing Univ Technol, Coll Econ & Management, Beijing 100022, Peoples R China
  • [ 4 ] [Li, Zhenglong]Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
  • [ 5 ] [Yue, Xiongping]Wuhan Polytech Univ, Sch Management, Wuhan 430062, Peoples R China

通讯作者信息:

  • 王超

    [Du, Jianbang]Texas A&M Transportat Inst, Bryan, TX 77807 USA;;[Wang, Chao]Beijing Univ Technol, Coll Econ & Management, Beijing 100022, Peoples R China

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来源 :

IEEE SYSTEMS JOURNAL

ISSN: 1932-8184

年份: 2024

期: 1

卷: 18

页码: 339-350

4 . 4 0 0

JCR@2022

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