Research on emergency logistics management based on Intelligent Supply Chain
The effective prevention and response of public emergencies such as natural disasters is not only a difficult problem for China, but also a problem that governments all over the world hope to be solved effectively. Emergency supply chain management is very important to disaster relief. It determines...
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Format: | Article |
Language: | English |
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EDP Sciences
2021-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/11/e3sconf_netid2021_03056.pdf |
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author | Cao Yonghui Jiang He |
author_facet | Cao Yonghui Jiang He |
author_sort | Cao Yonghui |
collection | DOAJ |
description | The effective prevention and response of public emergencies such as natural disasters is not only a difficult problem for China, but also a problem that governments all over the world hope to be solved effectively. Emergency supply chain management is very important to disaster relief. It determines whether the emergency work can be carried out efficiently and orderly, which is a major event affecting the national economy and people’s livelihood. The theory of intelligent supply chain provides a new research perspective for emergency logistics management. This paper combines the theory of intelligent supply chain with emergency theory, analyzes the necessity of intelligent supply chain in emergency management, and puts forward the construction principles. Finally, the paper puts forward some suggestions based on the intelligent supply chain emergency logistics management. |
first_indexed | 2024-12-16T15:00:24Z |
format | Article |
id | doaj.art-b0476875b1ec4f2e94accf884354d919 |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-12-16T15:00:24Z |
publishDate | 2021-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj.art-b0476875b1ec4f2e94accf884354d9192022-12-21T22:27:18ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012350305610.1051/e3sconf/202123503056e3sconf_netid2021_03056Research on emergency logistics management based on Intelligent Supply ChainCao Yonghui0Jiang He1Department of Business Administration, Guangzhou College of Technology and BusinessDepartment of Business Administration, Guangzhou College of Technology and BusinessThe effective prevention and response of public emergencies such as natural disasters is not only a difficult problem for China, but also a problem that governments all over the world hope to be solved effectively. Emergency supply chain management is very important to disaster relief. It determines whether the emergency work can be carried out efficiently and orderly, which is a major event affecting the national economy and people’s livelihood. The theory of intelligent supply chain provides a new research perspective for emergency logistics management. This paper combines the theory of intelligent supply chain with emergency theory, analyzes the necessity of intelligent supply chain in emergency management, and puts forward the construction principles. Finally, the paper puts forward some suggestions based on the intelligent supply chain emergency logistics management.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/11/e3sconf_netid2021_03056.pdf |
spellingShingle | Cao Yonghui Jiang He Research on emergency logistics management based on Intelligent Supply Chain E3S Web of Conferences |
title | Research on emergency logistics management based on Intelligent Supply Chain |
title_full | Research on emergency logistics management based on Intelligent Supply Chain |
title_fullStr | Research on emergency logistics management based on Intelligent Supply Chain |
title_full_unstemmed | Research on emergency logistics management based on Intelligent Supply Chain |
title_short | Research on emergency logistics management based on Intelligent Supply Chain |
title_sort | research on emergency logistics management based on intelligent supply chain |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/11/e3sconf_netid2021_03056.pdf |
work_keys_str_mv | AT caoyonghui researchonemergencylogisticsmanagementbasedonintelligentsupplychain AT jianghe researchonemergencylogisticsmanagementbasedonintelligentsupplychain |