The Study of Just-in-time Inventory Management Based on the Perspective of the Internet of Things
- DOI
- 10.2991/assehr.k.211215.043How to use a DOI?
- Keywords
- JIT inventory management; net of things; Intelligent detection and distribution system
- Abstract
Inventory management is an important basis for production management and cost control in manufacturing enterprises. The timely management method of inventory timely system is the scientific and efficient inventory management mode with remarkable advantages in inventory management. How to use The Internet of Things technology to assist the effective implementation of inventory timely management is the main problem discussed in this paper. IOT technology can assist enterprises to collect, analyze and process real-time data, thus providing advanced technology support for enterprises to carry out scientific and efficient inventory management. This paper systematically expounds how to use The Internet of Things technology to monitor and control the process of delivering finished products to the buyer’s location in real time, so as to better assist the smooth implementation of inventory timely management methods. From the perspective of product distribution, we summarize the feasibility and concrete implementation of the application of Internet of Things technology, so that enterprises to the product distribution process to accurately detect and control, effectively make up for the inventory timely management methods of defects, to avoid the occurrence of default liability.
- Copyright
- © 2021 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Fengfu Xu PY - 2021 DA - 2021/12/15 TI - The Study of Just-in-time Inventory Management Based on the Perspective of the Internet of Things BT - Proceedings of the 7th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2021) PB - Atlantis Press SP - 238 EP - 243 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.211215.043 DO - 10.2991/assehr.k.211215.043 ID - Xu2021 ER -