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Method for predicting accessory demand quantity based on consumption history

A technology of demand and matching method, applied in data processing applications, instruments, manufacturing computing systems, etc., can solve problems such as imbalance of customer confidence in products, affecting the sales market, etc., and achieve the effect of accurate prediction results

Inactive Publication Date: 2019-05-24
雅马哈发动机(厦门)信息系统有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If these two points are not fully considered, it may lead to an imbalance of customer confidence in the product, thereby affecting the entire sales market

Method used

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  • Method for predicting accessory demand quantity based on consumption history

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0057] Taking a certain brand YZF-R1-2015-4C81 model motorcycle designed and produced by a manufacturing enterprise that has implemented information management and its 4C8-2835G-00-NX model front body parts as an example to describe in detail .

[0058] The 4C81 model motorcycle will be launched in January, bring this model motorcycle into the model database for matching, and get a similar product YZF-R1-2013-14B1 model motorcycle, and bring the 4C8-2835G-00-NX model accessories into The function code database is matched to obtain similar accessories 14B-2835G-00-1X, and its initial two-year sales performance (the values ​​are 3350 and 1020 respectively) is obtained for simulation calculation to predict the demand for accessories in January.

[0059] Corresponding to steps 1 and 2, the necessary rate of similar accessories = the initial 2-year sales performance of similar accessories / the initial 2-year sales performance of similar products = 1020 / 3350 = 0.304; then the predi...

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Abstract

The invention discloses a method for predicting accessory demand quantity based on consumption history. The method comprises the following steps: 1, carrying out heat treatment; calculating similar accessory necessity, obtaining a new product demand quantity in the first period, according to demanded quantity of new products and similar accessory necessity rate, calculating the accessory demand quantity of the first period; selling a new product on the market; counting the accessory sales performance and the new product sales performance of each period; calculating the accumulative sales performance of the accessories and the accumulative sales performance of the new products; and calculating an actual accessory demand rate according to the accessory accumulative sales actual performance and the new product accumulative sales actual performance, obtaining the product demand quantity of the next period of each period, and calculating the accessory demand quantity of the next period according to the actual accessory demand rate and the product demand quantity of the next period of each period. After new products enter the market, the demand quantity of the market for maintenance accessories in all periods can be accurately predicted, and the output accessories are not prone to excess stock or overstocking.

Description

technical field [0001] The invention relates to the technical field of production management, in particular to a method for predicting demand for spare parts based on consumption history. Background technique [0002] Parts forecast refers to the estimation and analysis of the changing trend and influencing factors of the market demand for repair parts in a certain period of time in the future on the basis of various information obtained from the maintenance market survey, through analysis and research, and by using scientific methods and means. It can be inferred that it can serve as the premise of corporate procurement decisions, provide a basis for corporate procurement plans, and improve corporate competitiveness and management levels. [0003] Traditional parts forecasting is based on the actual demand performance in the stable period of the product life cycle to predict the demand for a certain period of time in the future. When forecasting the demand for repair parts...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/08G06Q30/02G06Q50/04
CPCY02P90/30
Inventor 余翠花林奇峰
Owner 雅马哈发动机(厦门)信息系统有限公司
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