Failure effect assessment dimension optimization method based on discriminability coefficient

Abstract

The invention discloses a dimension optimization method of failure impact evaluation based on discrimination coefficient, according to the corresponding relationship between the aspects involved in the process failure impact and the type of enterprise responsibility, according to the property right boundary theory, perceived risk theory and manufacturing maturity theory , to construct a dimensional system for evaluating the severity of manufacturing process failure with systematic theoretical basis and completeness. Then, create a discriminatory coefficient calculation formula that can be used for fuzzy risk assessment. Finally, with the goal of minimizing the number of dimensions and maximizing the information content of the system, and taking the requirements of the principal component analysis method for the completeness of the system as constraints, a multi-objective mathematical optimization model based on the weight of each dimension and the evaluation data of each dimension is established. Optimize the selection of dimensions to find the best balance between the completeness and simplicity of the dimension system.

Description

technical field [0001] The invention relates to process evaluation optimization technology, in particular to a method for optimizing dimension of failure impact evaluation based on discrimination coefficient. Background technique [0002] PFMEA (Process Failure Mode and Effects Analysis, Process Failure Mode and Effects Analysis) is a systematic and forward-looking technical analysis method mainly used by manufacturing and assembly engineers, dedicated to identifying possible Potential PFM (Process Failure Mode, process failure mode) appears, and the degree of impact caused by the failure mode is evaluated. And according to the order of risk levels of each model, rationally allocate limited resources, and take corresponding process improvement and preventive measures to avoid and reduce failure risks, minimize corporate responsibility and negligence, and try to avoid compensation and reduce losses. PFMEA originated in the aerospace industry in the United States, and gradual...

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Problems solved by technology

However, there are many dimensions to consider in the assessment of severity

Geng Xiuli [1] Evaluate the severity from the three aspects of safety, reliability and economy; Braglia M [2] Evaluate from the four aspects of safety, quality, maintenance cost, and average repair time; Wang Shaoyin [3] It is evaluated from nine aspects: product function realization, product usability, user's personal safety, cost of repairing failure, user's operation convenience, difficulty of repairing failure, environmental impact, public safety, and scrapping cost after failure; The above-mentioned researchers have certain incompleteness and repetitiveness in establishing the severity evaluation dimension system, and the selection of dimensions lacks a systematic scientific theoretical basis

In addition, too many dimensions will ensure the completeness of the system, but it will increase the workload of evaluation experts and reduce the efficiency of PFMEA execution; too few dimensions will allow experts to concentrate on evaluation in a limited number of dimensions, but it will cause Ill-conceived questions that skew the final result

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