Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

An Empirical Study on Supply Chain Management Dilemmas and Countermeasures of Intelligent Manufacturing Enterprises in the Post-plague Era ---- Taking Dongguan BG Technology Co. as an Example

Authors
Fei Lei1, Wenhao Luo2, Yangyang Yan1, *, Chun Feng3, Lei Chen4, Shixing Lei4, Baihe Lei4, Decai lv4
1School of Finance and Economics, Guangdong University of Science and Technology, Dongguan, China
2Guangdong University of Science and Technology, Dongguan, China
3School of Economics and Trade, Guangzhou Xinhua University, Guangzhou, China
4Management Consulting Division, Dongguan Jiuxing Enterprise Management Consulting Co, Dongguan, China
*Corresponding author. Email: 1782869374@qq.com
Corresponding Author
Yangyang Yan
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_4How to use a DOI?
Keywords
supply chain management; core competitiveness; reconfiguration
Abstract

In the post-epidemic era, rapid changes in the international situation have led to a more competitive market, and the supply chain management of intelligent manufacturing enterprises has been severely challenged by a sharp decline in orders, lack of supply of materials and other supplies, rising prices, risk preparation, difficulty in meeting customer delivery schedules, and increasingly low profits in many industries. This paper argues and analyzes the BG supply chain management of intelligent manufacturing enterprises in Dongguan, the dilemma and its causes in 2020, proposes countermeasures to solve the problem, and validates the effect. It comes to the conclusion that under the background of epidemic normalization, smart manufacturing enterprises reconstructing supply chain management can quickly and effectively improve the core competitiveness of enterprises, which is expected to provide valuable reference for smart manufacturing enterprises to reconstruct supply chain management efficiently.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-102-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_4How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Fei Lei
AU  - Wenhao Luo
AU  - Yangyang Yan
AU  - Chun Feng
AU  - Lei Chen
AU  - Shixing Lei
AU  - Baihe Lei
AU  - Decai lv
PY  - 2022
DA  - 2022/12/29
TI  - An Empirical Study on Supply Chain Management Dilemmas and Countermeasures of Intelligent Manufacturing Enterprises in the Post-plague Era ---- Taking Dongguan BG Technology Co. as an Example
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 19
EP  - 28
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_4
DO  - 10.2991/978-94-6463-102-9_4
ID  - Lei2022
ER  -