A smart supply chain coordination management system based on big data

Abstract

The invention discloses a smart supply chain coordination management system based on big data, which includes a procurement commodity information collection module, a supplier sequence arrangement module, a supplier supply commodity statistics module, a supplier screening module, a logistics transportation time length statistics module, and a supplier supply The qualification coefficient analysis module, the supplier's transportation commodity loss analysis module, the management database, the management server and the display terminal, the invention collects the fresh commodity data purchased by the purchaser, and matches it with the suppliers that the purchaser cooperates with , to screen the suppliers, and then statistically screen out the comprehensive supply excellent coefficient of the suppliers, as the reference basis for the selection of the optimal supplier, realize the intelligent coordination management of the supply chain between the purchaser and the supplier, and improve the management The degree of perfection reduces the procurement cost of goods, increases the income of procurement, and meets the demand for supply chain management between the purchaser and the supplier.

Description

technical field [0001] The invention belongs to the technical field of supply chain management, and relates to a smart supply chain coordination management system based on big data. Background technique [0002] Supply chain refers to the supply and demand network composed of raw material suppliers, manufacturers, wholesalers, retailers and final consumers involved in the production and circulation of products. With the development of technology and market, the establishment of supply chain coordination management system is becoming more and more The more necessary, for the supply chain built by the purchaser and the supplier, the coordinated management of the supply chain is to manage the supplier. Through the management of the supplier, the optimal supplier is selected, thereby reducing the procurement cost of the product and increasing the procurement income. , Improving the quality of commodity procurement can also form a moderate level of fair competition among supplier...

AI Technical Summary

Problems solved by technology

[0003] However, the existing supply chain management between the purchaser and the supplier is not perfect, the degree of intelligence is not high, and there is often no reliable reference basis for the selection of the optimal supplier, which leads to blind selection of suppliers and affects The cost of purchased goods, thereby reducing the benefits of procurement, cannot meet the demand for supply chain management between the purchaser and the supplier

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