Quality management method based on decision tree algorithm

A quality management and decision tree technology, applied in the field of quality management, can solve the problems of insufficient use of data, lack of mining and utilization of useful information, etc., and achieve the effect of strong reference, strong reproducibility and strong product quality

Pending Publication Date: 2021-02-05
CRRC QINGDAO SIFANG CO LTD
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  • Abstract
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  • Claims
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Problems solved by technology

On the other hand, with the deepening of manufacturing informatization, enterprises collect a large amount of messy data from daily production activities and fail to make full use of them. Further excavation and utiliza

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  • Quality management method based on decision tree algorithm
  • Quality management method based on decision tree algorithm
  • Quality management method based on decision tree algorithm

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Embodiment Construction

[0053] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The following embodiments are used to illustrate the present invention , but not to limit the scope of the present invention.

[0054] In the description of the present invention, it should be noted that the terms "up", "down", "front", "rear", "left", "right", "vertical", "horizontal", "inner" and "outer" indicate the orientation or position The relationship is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientat...

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Abstract

The invention discloses a quality management method based on a decision tree algorithm, and the method comprises the following steps: 1, building a training sample database S, 2, judging whether a sample in the training sample database S is a quality improvement opportunity or not, and constructing target attributes which are the quality improvement opportunity and are not the quality improvementopportunity; 3, constructing an identification model for identifying opportunity reasons causing quality improvement based on an ID3 decision tree algorithm; and 4, pushing the reason causing the quality improvement opportunity identified by the identification model to a corresponding responsibility department. According to the invention, the identification model for identifying the opportunity cause of quality improvement is established based on the ID3 decision tree algorithm, the accuracy of the intelligent autonomous identification model is improved to a certain extent, enterprises can behelped to carry out responsibility analysis and automatic diagnosis on product quality defects, and the reject ratio in production is reduced.

Description

technical field [0001] The invention belongs to the technical field of quality management, and in particular relates to a quality management method based on a decision tree algorithm. Background technique [0002] Traditional rail transit quality management methods are dedicated to quality control and diagnosis, mainly post-processing. On the other hand, with the deepening of manufacturing informatization, enterprises collect a large amount of messy data from daily production activities and fail to make full use of them. Further mining and utilization of useful information hidden behind the data cannot automatically give improvement opportunities by using scientific data calculation models, and cannot provide support for the company's quality improvement activities. [0003] In view of this, the present invention is proposed. Contents of the invention [0004] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, an...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/04G06K9/62G06N20/00
CPCG06Q10/06395G06Q50/04G06N20/00G06F18/24323Y02P90/30
Inventor 李亮亮李彦林王西山董绪琪李艳
Owner CRRC QINGDAO SIFANG CO LTD
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