Supply chain demand forecasting and intelligent decision making method based on big data

Abstract

The invention discloses a supply chain demand forecasting and intelligent decision making method based on big data. The supply chain demand forecasting and intelligent decision making method comprises the following steps of performing product demand forecasting on product structured data through various forecasting algorithms, and selecting a forecasting algorithm of which the error is the smallest, so as to obtain demand forecasting data; performing mathematical modeling on enterprise resources; creating decision variables, according to the created decision variables, using a main plan as a reference, creating a limited productivity object function and an unlimited productivity object function, and constructing corresponding limiting conditions according to different productivity object functions; according to the demand forecasting data and through adjusting solving parameters, obtaining a resource allocation manner or demand resources meeting an operation plan of an enterprise. According to the supply chain demand forecasting and intelligent decision making method disclosed by the invention, based on the mass data structured analysis, forecasting is performed through various forecasting algorithms comprising mathematical modeling and the like; according to the demand data obtained by forecasting, and combining conventional productivity condition of the enterprise, a corresponding decision is made; through the adoption of the supply chain demand forecasting and intelligent decision making method, the forecasting accuracy can be guaranteed, and decision making can be assisted.

Description

technical field [0001] The invention belongs to the field of big data application technology, and in particular relates to a supply chain demand prediction and intelligent decision-making method based on big data. Background technique [0002] As a decision-making artifact, big data technology is increasingly playing a role that cannot be ignored in social governance and corporate management. Both the United States and the European Union have included big data research and use in their national development strategies, similar to giants such as Google, Microsoft, Baidu, and Amazon. Enterprises also regard big data technology as a lifeline and a key bargaining chip for future development. [0003] Demand forecasting is under the guidance of certain macroeconomic and microeconomic theories, based on past and present developments, abnormal situations, and many factors that affect changes in market demand, including sales conditions, inventory strategies, production processes, an...

AI Technical Summary

Problems solved by technology

If the environmental changes and their changing regularity cannot be detected in time, the accuracy of the forecast results will be affected, resulting in large production and sales deviations, resulting in wrong decision-making

Images