Development and Application of Sporadic Material Inventory Optimization Management System based on Artificial Intelligence

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Qian Li
Wenjun Hou
Yatong Wu
Yaqi Hou
Jian Zhu

Abstract

This paper introduces the overall framework of the intelligent electrical sporadic materials management system based on the ubiquitous Internet of Things. The system includes storage equipment and an intelligent management terminal. It makes optimal design for storage equipment and intelligent management terminals. The dynamic modeling of a three-layer supply chain system of power materials is constructed and composed of manufacturers, suppliers, and raw materials. The inventory control strategy of each link in the supply chain of power materials under different cooperation levels is studied by introducing the corresponding adjustment variables. Through the experiment and analysis of the system, it is proved that the system has good performance in label management, resource management, inventory management, disposal management, system management and essential management. The number of concurrent users, response speed, stability and other aspects of the system are excellent. The database is complete, independent, and secure. And the data is objectively reasonable and repairable. The system can lay a specific technical foundation for intelligent management of electrical sporadic materials.

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Speciai Issue - Deep Learning in Healthcare