Industrial supply chain intelligent management coordination method based on cloud computing and big data analysis and cloud management platform

Abstract

The invention discloses an industrial supply chain intelligent management coordination method based on cloud computing and big data analysis and a cloud management platform, and the method comprises the steps: classifying parts needed by an industrial production product into various parts, and carrying out the statistics of the number of various parts needed by a single industrial production product; extracting the product shipment quantity of industrial production in each day after the batch of parts are purchased, calculating the total usage amount of various parts after the batch of parts are purchased, obtaining the consumption amount of various parts in the industrial production products in each day after the batch of parts are purchased, and calculating the total remaining amount of various parts after the batch of parts are purchased; screening the maximum usage amount and consumption amount of various parts in shipment products industrially produced in a certain day after the batch of parts are purchased, calculating the maximum total usage amount of various parts in the day after the batch of parts are purchased, and judging whether the total remaining amount of various parts meets the industrial production requirement in the whole day or not through comparing and analysis; if not, notifying related personnel to carry out purchase supplement.

Description

Technical field[0001]The present invention relates to the field of industrial supply chain management involves industrial supply chain intelligent management coordination methods and cloud management platforms based on cloud computing and large data analysis.Background technique[0002]More and more companies have realized the importance of supply chain management on the survival and development of enterprises. Supply chain management coordination has become a hot spot in the field of supply chain management, so there is more and more research on supply chain management coordination methods.[0003]At present, most of the existing industrial supply chain management coordination methods use artificial management, that is, in the process of partial calculation, the use of partial calculations, the use, consumption, surplus and replenishment of parts, not only waste a lot of manpower And time cost, and there is a problem of manual statistics, resulting in accuracy, real, timely, and transp...

AI Technical Summary

Problems solved by technology

[0003] At present, most of the existing industrial supply chain management coordination methods adopt manual management, that is, in the supply process of parts calculated by piece, the use, consumption, surplus and replenishment of parts are statistically managed manually, which not only wastes a lot of manpower and time costs, and there are errors in manual statistics, resulting in data that cannot be guaranteed to be accurate, true, timely, and transparent, and can easily cause data asymmetry, thereby affecting the disconnection of industrial supply chains and reducing the efficiency of industrial production products. In order to solve For the above problems, now design an industrial supply chain intelligent management coordination method and cloud management platform based on cloud computing and big data analysis

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