Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

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Application of Machine Learning in Supply Chain Management

Authors
Jiaming Luo1, *
1Southwestern University of Finance and Economics, Chengdu, China
*Corresponding author. Email: luojiaming@smail.swufe.edu.cn
Corresponding Author
Jiaming Luo
Available Online 29 March 2023.
DOI
10.2991/978-94-6463-124-1_58How to use a DOI?
Keywords
Machine learning; supply chain management; support vector machine; logistic regression
Abstract

With the continuous development of information technology, machine learning, and other artificial intelligence technology has gradually developed and perfected. Supply chain management is an important link in business, its importance is self-evident. Supply chain management is to make the supply chain operation achieve optimization, with the least cost, so that the supply chain from procurement to meet the final customer all the process. It is closely connected with China’s economy and society and develops rapidly. This article will explore the convergence of machine learning techniques and supply chain management. After reviews of machine learning techniques, this paper introduces several commonly used machine learning techniques, and then studies the application of support vector machines and decision trees in the field of supply chain management, and enumerates the corresponding successful cases. Finally, the possible future development direction of machine learning technology is proposed. In this paper, the machine learning technology and its application are summarized and the future development of this technology prospects.

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 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
29 March 2023
ISBN
10.2991/978-94-6463-124-1_58
ISSN
2352-5428
DOI
10.2991/978-94-6463-124-1_58How 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

risenwbib
TY  - CONF
AU  - Jiaming Luo
PY  - 2023
DA  - 2023/03/29
TI  - Application of Machine Learning in Supply Chain Management
BT  - Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
PB  - Atlantis Press
SP  - 489
EP  - 498
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-124-1_58
DO  - 10.2991/978-94-6463-124-1_58
ID  - Luo2023
ER  -