Product service demand forecasting and resource optimization configuration method

Abstract

The invention provides a product service demand forecasting and resource optimization configuration method. The product service demand forecasting and resource optimization configuration method comprises the steps of 1 forecasting the product service demands based on information combination and method combination; 2 performing optimization configuration on product service resources according to different product service demands and product service resource requirements based on a ProA method. The method gives full play to the advantages of different forecasting models on the aspect of demand tendency information extraction, can fully utilize demand tendency change information at different product service demand levels and accordingly improves the demand forecasting accuracy. After the product service demands are accurately obtained, by adopting the product service resource configuration method based on the ProA method, all of product service can obtain necessary service resource support, product service resource configuration schemes can be further optimized, accordingly the customer satisfaction can be improved, and the product service cost can be reduced.

Description

technical field [0001] The invention belongs to the field of product services, and specifically relates to product service demand forecasting technology, and an optimal configuration method for product service resources required to meet product service needs, in particular to product service demand forecasting with hierarchical structure characteristics, and corresponding product service Resource allocation method. Background technique [0002] Background Technology 1: Combined Forecasting Method [0003] Combined forecasting technology is a method of combining the forecasting results of multiple forecasting models through quantitative or qualitative methods in order to obtain more accurate or stable forecasting results. Combined forecasting must be better than the worst forecasting model among them, thus reducing forecasting risk, which is one of the main reasons why combined forecasting is widely used in practice. For a certain predicted value, the predicted value at the...

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Problems solved by technology

[0020] Aiming at the defects in the prior art, the present invention provides a product service demand prediction technology and an optimal configuration method for product service resources required to meet product service requirements, so as to solve the problem of low demand forecast precision and resource allocation method in product service management. lack of problems

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