Quality management method based on decision tree algorithm

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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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 utilization of useful information hidden behind the data, cannot use scientific data calculation models to automatically give improvement opportunities, and cannot provide support for the company's quality improvement activities

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