Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023)

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Application of multi-level inventory intelligent decision-making system in the automotive aftermarket

Authors
Liu Yang1, *, Xin Ma1, Yingnan Liu1
1Automotive Data of China Co.,Ltd, China Automotive Technology and Research Center Co., Ltd, Tianjin, China
*Corresponding author. Email: yangliu@catarc.ac.cn
Corresponding Author
Liu Yang
Available Online 11 December 2023.
DOI
10.2991/978-94-6463-308-5_8How to use a DOI?
Keywords
Automotive aftermarket; multi-level inventory; intelligent decision-making; demand forecasting; inventory planning
Abstract

Automotive aftermarket spare parts supply chain related business gradually began to carry the core functions of customer service and profit growth, enterprises in the aftermarket spare parts business competition is fierce, after-sales business transformation has become a must for enterprises. This article examines the research on the multi-level inventory management method and the intelligent decision-making system for multi-level inventory of automotive aftermarket spare parts and analyzes its application in inventory planning and management in the automotive aftermarket. It aims to address the lack of scientific management methods and intelligent decision-making tools in inventory planning and management of automotive enterprises' aftermarket spare parts. The system is based on automotive data and supported by supply chain algorithm models. Its core modules include data management, spare parts classification, demand forecasting, inventory strategy, global optimization, inventory planning, and automatic suggestions. It supports enterprises in achieving accurate stocking, reducing inventory costs, decreasing manual calculation burden, improving accuracy and efficiency of calculations, enhancing information flow speed, and optimizing supply chain coordination efficiency.

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 2023 8th International Conference on Engineering Management (ICEM 2023)
Series
Atlantis Highlights in Engineering
Publication Date
11 December 2023
ISBN
978-94-6463-308-5
ISSN
2589-4943
DOI
10.2991/978-94-6463-308-5_8How 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  - Liu Yang
AU  - Xin Ma
AU  - Yingnan Liu
PY  - 2023
DA  - 2023/12/11
TI  - Application of multi-level inventory intelligent decision-making system in the automotive aftermarket
BT  - Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023)
PB  - Atlantis Press
SP  - 72
EP  - 80
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-308-5_8
DO  - 10.2991/978-94-6463-308-5_8
ID  - Yang2023
ER  -