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Prediction method and device and electronic equipment

A forecasting method and spare parts technology, applied in the field of data processing, can solve the problem of inaccurate forecasting of spare parts demand in the rainy season, and achieve the effect of avoiding excessive purchases and providing forecasting accuracy

Inactive Publication Date: 2019-05-10
LENOVO (BEIJING) CO LTD
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Problems solved by technology

[0005] In view of this, this application provides a spare parts demand forecasting method, device and computer equipment, which solves the technical problem that the existing forecasting method is inaccurate in forecasting the demand for spare parts in the rainy season

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  • Prediction method and device and electronic equipment
  • Prediction method and device and electronic equipment
  • Prediction method and device and electronic equipment

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Embodiment Construction

[0063] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0064] In order to make the above objects, features and advantages of the present application more obvious and comprehensible, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0065] refer to figure 1 , is a flow diagram of a spare parts demand forecasting method provided in the embodiment of the present application. The method can be used in computer equipment, such as servers or e...

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Abstract

The invention provides a spare part demand prediction method, a device and computer equipment. The method comprises the following steps: obtaining historical data of a type of spare part to which theto-be-tested spare part belongs, using the historical data, firstly, verifying whether the historical demand of the to-be-tested spare part is influenced by environmental conditions or not; afterwards, utilizing a machine learning algorithm corresponding to the verification result to automatically obtain the demand quantity of the to-be-tested spare part in the to-be-tested time of the current year. Compared with a traditional prediction method, whether the demand quantity of the spare part in the appointed time in the current year is influenced by environmental conditions or not is not considered; if the method is affected by rainy seasons, the prediction accuracy is provided, and inventory backlog and fund backlog caused by excessive purchase quantity of spare parts can be avoided whilethe demand of consumers on the spare parts is met.

Description

technical field [0001] This application mainly relates to the technical field of data processing, and more specifically relates to a prediction method and related equipment. Background technique [0002] In practical applications, the service life of electronic equipment such as keyboards, motherboards, display screens, and casings is easily affected by external environmental conditions, such as the humidity of the external environment. Excessive humidity can easily cause damage to electronic equipment. Therefore, for some places where the rainy season is long, the business department will often prepare more spare parts for electronic equipment before the rainy season to meet the customer's parts replacement needs during the rainy season. [0003] At present, the business department usually predicts the demand for electronic equipment spare parts in the rainy season this year based on the damage rate of electronic equipment during the rainy season last year and the inventory...

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Application Information

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IPC IPC(8): G06Q10/04
Inventor 张亚红欧阳文理张秀玲朱明达王瑾睿
Owner LENOVO (BEIJING) CO LTD
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