Product quality accident classification method based on failure mechanism and domain mapping

Abstract

The invention discloses a product quality accident classification method based on failure mechanism and domain mapping. The classification method comprises the specific steps of 1, creating a large quality accident database; 2, analyzing a quality accident formation mechanism, determining failed components directly resulting in quality accidents and main failure mechanisms and functions-physical domain mapping relation causing failure of components; 3, calculating a quality accident loss cost; 4, creating an accident corresponding extension failure tree and calculating accident occurrence probability; 5, creating a critical quality characteristics relevance tree corresponding to accidents and calculating accident detectability; 6, calculating risk coefficients corresponding to accidents according to enterprise risk preference; 7, determining accident risk boundaries, accident risk grades and accident risk orders according to enterprise decisions; and 8, according to calculation results, identifying weak links of the product and assisting to improve product quality and prevent from accidents. By adopting the product quality accident classification method, the disadvantage of taking accident loss as classification basis is overcome, and thus the method has wide application prospects in the quality management and risk analysis field.

Description

technical field [0001] The invention provides a method for grading product quality accidents based on fault mechanism and inter-domain mapping, which belongs to the field of quality management. Background technique [0002] The product quality accident studied in the present invention is a quality accident in a narrow sense, which refers to an event that has a negative impact on personnel, equipment and the environment due to the substandard quality of the product itself during the use of complex products. In recent years, product functions and structures have become more complex, and different types of quality accidents have become more frequent. This problem is particularly prominent in the field of complex products and engineering systems. In an ideal situation, all quality accidents that have occurred should be resolved quickly and properly. However, in most cases, manufacturers are limited by limited time and corporate resources, and must choose major and critical quali...

AI Technical Summary

Problems solved by technology

However, there are several deficiencies in simply qualitatively grading accident losses as follows: First, using accident losses as the only criterion may easily lead managers to pay too much attention to rare quality accidents that cause huge losses, while ignoring those that are difficult to detect and prevent with the current technical level Frequent quality accidents; Secondly, it is not closely integrated with the logical structure of product functions, ignoring the mechanism of quality accidents, resulting in only passive responses to accidents, which is not conducive to active detection, prevention and control of similar accidents; The existing big data related to quality accidents is insufficiently utilized, and the correlation between quality damage events, quality deviations, product defects, environmental stress and other symptom data and accidents cannot be fully explored, which seriously affects the development of quality risk early warning technology

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