A study on supply chain resilience measurement of New Energy Vehicles industry based on complex network approach

This paper uses the data of listed companies in China's new energy vehicle industry in 2022 to build a supply chain network model and adopts a simulation attack method to evaluate the supply chain elasticity of the industry. The study analyzed the resilience status of the supply chain and revealed the insufficient stability of the supply chain structure.

Authors

Institutions

Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1145/3724154.3724273
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A study on supply chain resilience measurement of New Energy Vehicles industry based on complex network approach

G. Wang, Jing Tian
Supply Chain Resilience and Risk Management
article

A study on supply chain resilience measurement of New Energy Vehicles industry based on complex network approach

G. Wang, Jing Tian
article en

Abstract

This paper uses the data of listed companies in China's new energy vehicle industry in 2022 to build a supply chain network model and adopts a simulation attack method to evaluate the supply chain elasticity of the industry. The study analyzed the resilience status of the supply chain and revealed the insufficient stability of the supply chain structure.

Xi'an International Studies University (CN)
Affordable and clean energy
Openalex Percentile: Top 49%
Supply Chain Resilience and Risk Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A study on supply chain resilience measurement of New Energy Vehicles industry based on complex network approach — G. Wang, Jing Tian · (2024) | TGRS Research Map | TGRS