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Vehicle part inventory risk prediction method, device and equipment

A technology for inventory forecasting and risk forecasting, applied in the computer field, can solve the problems of splitting vehicle production and logistics warehousing, the inability of statistics to predict short-term demand changes, and the inability to accurately predict the impact, etc., to achieve high accuracy.

Pending Publication Date: 2020-11-03
赛可智能科技(上海)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The vehicle production plan is frequently revised based on market feedback, which leads to two main problems: First, the market demand often changes drastically in a short period of time, and the statistics of a given probability distribution cannot predict short-term demand changes. Using this method cannot quickly respond to market changes; second, this method separates vehicle production and logistics warehousing, only considers warehousing costs, and formulates parts procurement plans based on warehousing. Logistics resources, meeting changing production orders is the top priority
Therefore, existing methods still cannot accurately predict the impact of order changes on parts planning and parts inventory in the entire downstream production of vehicles.

Method used

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  • Vehicle part inventory risk prediction method, device and equipment
  • Vehicle part inventory risk prediction method, device and equipment
  • Vehicle part inventory risk prediction method, device and equipment

Examples

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no. 1 example

[0059] see figure 1 , which is a schematic flow chart of a method for predicting vehicle parts inventory risk provided in this embodiment, the method includes the following steps:

[0060] S101: Input the demand data of the parts before the order change and the demand data of the parts after the order change into the pre-built vehicle parts inventory forecasting model, so as to predict the production planning data of the whole vehicle.

[0061] In this embodiment, in order to be able to accurately predict the inventory change of parts when the order is changed, and then predict the possible risk of parts inventory, and obtain a prediction result with higher accuracy. Pre-built vehicle parts inventory forecasting models, such as figure 2 As shown in , the vehicle parts inventory forecasting model is a state space model composed of vehicle production scheduling module, parts usage planning module and parts inventory planning module. And the state variables in the model (i.e. ...

no. 2 example

[0108] This embodiment will introduce a vehicle parts inventory risk prediction device, and for related content, please refer to the above method embodiments.

[0109] see Figure 5 , which is a schematic composition diagram of a vehicle parts inventory risk prediction device provided in this embodiment, the device 500 includes:_

[0110] The first input unit 501 is used to input the demand data of the parts before the order change and the demand data of the parts after the order change into the pre-built vehicle parts inventory forecasting model, so as to predict the vehicle production planning data;

[0111] The second input unit 502 is configured to input the disturbance data of the parts into the vehicle parts inventory forecasting model, and predict the use plan data of the parts according to the vehicle production plan data; The disturbance data of the parts at least includes the defect rate of the parts, and / or, the common information of the parts, and / or, the installa...

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Abstract

The invention discloses a vehicle part inventory risk prediction method, device and equipment, and aims to solve the technical problem that the traditional scheme cannot accurately predict the influence of order change on part plans and inventory in the whole downstream production of vehicles. The method comprises the following steps: firstly, inputting part demand data before and after order change into a pre-constructed vehicle part inventory prediction model, and predicting whole vehicle production plan data; then inputting disturbance data of the parts into the model, and predicting use plan data of the parts according to the production plan data of the whole vehicle; then, inputting the reservation information data and the logistics information data of the parts into the model, and predicting inventory plan data of the parts according to the use plan data of the parts; and comparing the inventory plan data with the inventory plan data of the actual parts, so as to predict the inventory change of the parts and the possible part inventory risk more accurately according to the comparison result.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method, device and equipment for risk prediction of vehicle parts inventory. Background technique [0002] With the continuous rapid development of social economy, the number of motor vehicles in my country is increasing year by year. In the actual production process of vehicles, due to the wide variety of auto parts, the common parts of multiple models, the defective rate of different parts, and the differences in assembly tolerances, etc. Factors make it difficult to manually formulate parts usage plans and estimate the inventory risk of all parts. Only when the parts inventory is gradually reduced to near the alarm line in actual production can feedback be provided online. Therefore, it is necessary to predict the impact of different order changes on the downstream links of vehicle production in advance, so as to formulate a more reasonable production scheduling p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q10/08G06Q50/04
CPCG06Q10/0635G06Q10/04G06Q10/087G06Q10/067G06Q10/06315G06Q50/04Y02P90/30
Inventor 徐冠奇金忠孝
Owner 赛可智能科技(上海)有限公司