Intelligent production management method

Abstract

The invention relates to an intelligent production management method, in particular to a comprehensive intelligent production management method. The method includes information data acquisition, specialized data analysis, a workpiece-oriented production mode, a worker-oriented working mode, and a production quality inspection and dynamic quality inspection mode. Each worker who participates in production is digitally registered, and by recording and monitoring the production efficiency of individuals and teams, an intelligent analysis module of a comprehensive management system is utilized to adjust the production mode and the team member assignment structure in time and obtain the most suitable production quality inspection mode. The system is characterized in that by means of the powerful functions of a database and visual analysis, the system can use a piecework-hourly work mixed production work management mode to dynamically adjust the quality monitoring mode and intensity according to the characteristics of individuals and workpieces, thus achieving multiple purposes, such as reasonably arranging productivity, increasing the production rate and guaranteeing product quality.

Description

technical field [0001] The invention relates to a production management method. Specifically, it is a method of using intelligent technology to manage production. Background technique [0002] At present, the production management methods of most production enterprises adopt the production mode of timekeeping or the management method of piece counting mode. Regardless of the production mode in the form of timing or piece counting, post-production sampling inspections or mutual inspections between employees are often used to ensure product quality. Product sampling inspection is often done by an independent quality supervision department. The effect of sampling inspection depends on the experience and ability of inspectors, and the work pressure of quality inspectors is relatively high when the number of products is large. The mutual inspection of employees is more inefficient due to the common situation of mutual cover-up, and often cannot achieve the effect of guaranteein...

AI Technical Summary

Problems solved by technology

Product sampling inspection is often completed by an independent quality supervision department. The effect of sampling inspection depends on the experience and ability of the inspector, and the work pressure of the quality inspector is relatively high when the number of products is large.

The mutual inspection of employees is more inefficient due to the common situation of mutual cover-up, and often cannot achieve the effect of guaranteeing product quality.

Therefore, the above two methods are difficult to guarantee product quality

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