Vehicle spare part sales volume forecasting method and system based on unified dynamic integration model and meta-heuristic algorithm

Abstract

The invention provides a vehicle spare part sales volume forecasting method and system based on a unified dynamic integration model and a meta-heuristic algorithm. The method comprises the steps thata database is established to store data needed for forecasting the vehicle spare part sales volume, and the sales volume of various vehicle spare parts is comprised and is called as a forecasting variable; a data acquisition module is connected with the database and the vehicle spare part sales volume forecasting system to acquire the needed forecasting variable, and a number of parallel typical forecasting methods are used for forecasting to acquire forecasting results corresponding to various forecasting methods; furthermore, various forecasting results are stored, and a unified dynamic integrated model is established; the meta-heuristic algorithm is used to optimize the forecasting model coefficients; the acquired forecasting model is stored in a vehicle spare part sales volume forecasting application system; and a spare part sales volume forecasting result is generated after the corresponding vehicle spare part sales volume data are input. According to the invention, the model which is suitable for forecasting various vehicle spare parts is found; the characteristics of high optimization precision and the like of the meta-heuristic algorithm are used; and the vehicle spare partsales volume forecasting precision is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of sales forecasting of spare parts for automobiles, in particular to a sales forecasting method and system for spare parts of automobiles based on a unified dynamic integration model and a meta-heuristic algorithm. Background technique [0002] The automobile market is a comprehensive competitive market. There is not only the competition of product quality, but also the competition of customer service quality. When the quality and performance of products are not much different, people will pay more attention to the quality of after-sales service In the face of such a situation, more and more automobile manufacturers not only pay attention to the quality and performance of automobiles, but also pay attention to improving the quality of their after-sales services and improving their brand reputation. The image in the hearts of consumers, and in order to retain old customers and develop new customers. Another...

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Problems solved by technology

[0006] In order to overcome the problems of low long-term forecasting accuracy and slow forecasting operation speed of existing forecasting methods, the present invention provides a method and system for forecasting auto spare parts sales based on a unified dynamic integration model and a meta-heuristic algorithm, wherein the unified dynamic integration model Contains a variety of parallel typical forecasting models, through the typical forecasting model, the sales of selected auto spare parts are firstly forecasted, and the forecasting results of various methods are stored to form a unified dynamic integration model

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