Inventory optimization management information model based on capacity supply chain

Abstract

The present invention provides an inventory optimization management information model based on a capacity supply chain. A construction method for the model involves a client demand information collection module, a client information processing module, a production plan scheduling board visual module and an inventory classification delivery module. The method comprises the specific steps of: establishing a client demand information unit; inputting client information for performing a demand classification process; summarizing data to a data exchange center for later use; establishing a corresponding client order task; releasing a production plan and organizing production by a visual display screen; performing classification on finished products for later delivery; monitoring a delivery period to ensure delivery to a user according to the time required by the user; and finishing order delivery, returning detailed data of the order delivery to the data exchange center for archiving, and eliminating the corresponding task. According to various factors such as a user ordering habit and the like, an inventory coefficient can be intelligently calculated, a user ordering demand can be predicted, and inventory can be reasonably prepared, so that on the premise of ensuring supply, finished product inventory can be reduced, and occupied capital is reduced.

Description

technical field [0001] The invention relates to an inventory optimization management system in a logistics distribution mode, in particular to an inventory optimization management information model based on a production capacity supply chain. Background technique [0002] At present, the world is setting off a new wave of innovation and change. Major breakthroughs have been made in the research and development and industrialization of technologies such as mobile Internet, smart terminals, big data, cloud computing, and the Internet of Things. Especially in the traditional industrial field, intelligent manufacturing , smart transportation, smart home, etc. have gradually moved from concept to reality and entered a period of rapid development. The production of steel enterprises has also shifted from focusing on traditional product manufacturing to providing products and services with rich connotations. The boundaries between the Internet and manufacturing, production and serv...

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Problems solved by technology

[0003] Before the present invention was proposed, the traditional industrial fields generally carried out production capacity distribution according to the planned economic model. With the continuous increase of automobile production and sales and the increasingly intensified competition, production efficiency and cost control have become the endogenous driving force for the rapid development of automobile companies. In the traditional cooperation between the steel industry and the automobile industry, due to different production cycles and models, fluctuations in any link of the supply chain will have an unpredictable impact on the assembly of the final vehicle. Therefore, it is necessary to store a large amount of To ensure accurate and timely supply of materials and parts, this not only inhibits the efficient operation of the supply chain, but also makes the operating costs of enterprises continue to rise, and cost pressures continue to exist for a certain period of time

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