Query and prediction method of related material attributes of overstocked materials

A forecasting method and material technology, applied in the field of commodity management, can solve problems such as increased attribute complexity and surge in data volume, and achieve the effect of reducing costs and realizing lean management

Inactive Publication Date: 2017-09-01
XIAMEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, due to the surge in the amount of material-related inventory data and the increase in the complexity of attributes, it is easy to ignore important information related to inventory only through the chart

Method used

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Examples

Experimental program
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Embodiment Construction

[0022] The following examples further illustrate the present invention.

[0023] A kind of flow chart of the inquiry and prediction method of a kind of backlog material-related material attribute based on data mining technology provided by the present invention, the method comprises;

[0024] Step 1: Basic statistical analysis of inventory age. Use charts and other forms to get a preliminary understanding of the basic situation of the inventory age distribution of specific goods, and compare the current and historical inventory age changes.

[0025] Step 2: Transform the problem of predicting whether the material is backlogged into a feature selection problem, and combine multiple feature selection methods: filtering method and encapsulation method, to sort the importance of related material attributes.

[0026] Step 3: Query the backlog of materials. Use the most relevant attribute to cause the backlog obtained by attribute importance sorting, and obtain the inventory quant...

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PUM

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Abstract

The invention relates to a query and prediction method of related material attributes of overstocked materials and relates to the commodity management. According to the method, basic inventory age conditions of specific cargoes are preliminarily understood through utilizing a chart mode, and changes of present inventory ages and historical inventory ages are compared; for predicting an overstocked-or-not problem of the materials, importance ordering of related material attributes is carried out; the overstocked materials are queried, attributes related to overstocking are acquired through utilizing attribute importance ordering, and inventory at the certain time scope in the attributes is acquired through query; the overstocked materials are predicted, and the overstocked materials are predicted through the query result. The method is advantaged in that through determining whether the materials are overstocked materials, work complexity of stock monitoring is reduced, prediction precision of material stock overstocking is improved, cargo overstocking is effectively prevented, and cargo overstocking investment is reduced.

Description

technical field [0001] The invention relates to commodity management, in particular to a method for querying and predicting material attributes related to backlog materials. Background technique [0002] When merchants purchase commodities, they often rely on the purchasing experience of purchasing personnel to purchase the types and quantities of commodities, which may easily lead to insufficient purchasing of scarce commodities and excessive purchasing of unsalable commodities. This procurement method is highly dependent on the purchasing experience of purchasing personnel. The lack of scientific analysis of the types and quantities of purchases causes inventory pressure and increases inventory costs [1]. [0003] In order to prevent the backlog of goods and reduce the investment in the backlog of goods, it is essential to monitor the material inventory. Traditional statistical methods can help us establish inventory-related charts and intuitively understand the overall s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08
CPCG06Q10/04G06Q10/0875
Inventor 周绮凤李涛郑理黄越韩如愿
Owner XIAMEN UNIV
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