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.

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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  -