CN109409755B - Structured PFMEA (pulse frequency membrane electrode assembly) analysis system and method thereof - Google Patents
Structured PFMEA (pulse frequency membrane electrode assembly) analysis system and method thereof Download PDFInfo
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Abstract
The invention provides a structured PFMEA analysis system and a method thereof, which are used for effectively combing and combining functional requirements and failure modes of sub-processes or process steps and functional requirements and failure results of projects and products, and finally automatically generating a high-quality PFMEA report.
Description
Technical Field
The invention relates to a structured PFMEA analysis system and a method thereof.
Background
The PFMEA (Process Failure Mode and impact Analysis) method is a systematic method for analyzing the quality risk of the product Process design, so that designers can find the hidden quality danger in the early stage and adopt proper preventive measures and detection measures, thereby ensuring the quality of the product Process.
For a long time, most engineers adopt a method of directly filling in the form of PFMEA for analysis, which results in problems of incomplete function, unclear logic, unknown reason, improper measures, etc., and thus it is difficult to achieve the expected effect of PFMEA application.
Disclosure of Invention
Aiming at the technical problems, the invention provides a structured PFMEA analysis system and a method thereof, which are used for effectively combing and combining the functional requirements and failure modes of the sub-processes or the process steps and the functional requirements and failure results of the items and the products, and finally automatically generating a high-quality PFMEA report.
The technical scheme adopted by the invention is as follows:
one embodiment of the present invention provides a structured PFMEA analysis system, comprising:
the item determination module is used for determining the production process of the product to be subjected to PFMEA analysis;
the process/work step determining module is used for dividing the project determined by the project determining module into sub-processes or sub-work steps and performing structured presentation;
the element identification module is used for identifying all the process elements of the sub-processes or the sub-process steps of the lowest level determined by the identified process/step determination module;
the function determining module is used for determining all functions of items, sub-processes or sub-process steps and elements;
a characteristic identification module to: identifying the product characteristics after the determined project function to obtain project product characteristics; identifying the product characteristics of the sub-processes or the sub-process steps after the determined sub-processes or the sub-process step functions to obtain the process product characteristics, and identifying the process characteristics of the elements after the determined element functions to obtain the element process characteristics;
a characteristic chain and function chain determination module for identifying an association between project product characteristics and process product characteristics, and identifying an association between process product characteristics and process element process characteristics to form a characteristic chain and a function chain;
a failure analysis module to: determining the corresponding failure of each functional characteristic; identifying failure reasons from element failures and evaluating the occurrence degree of the failure reasons, evaluating the influence of process failures on project functions and evaluating the severity of the influence of the process failures so as to form failure relations among projects, sub-processes or sub-process steps and elements; according to the analysis of failure reasons, adding preventive measures and evaluating the frequency, and adding detection measures and evaluating the detection degree; and forming a failure analysis table based on the analysis result;
the optimization module is used for determining the items to be optimized according to the risk optimization requirement, forming an optimized item list and forming an optimization measure table;
and the output module is used for exporting the information related to the project and forming a formatted PFMEA report.
Optionally, the identifying the association between the project product characteristics and the process product characteristics, and the identifying the association between the process product characteristics and the process element process characteristics to form the characteristic chain and the function chain includes: identifying the incidence relation between the project product characteristics and the process product characteristics through the product characteristic matrix;
identifying the incidence relation between the process product characteristics and the process element process characteristics through the process characteristic matrix;
and forming a characteristic chain and a function chain based on the identified association relationship between the project product characteristics and the process product characteristics and the association relationship between the process product characteristics and the process element process characteristics.
Optionally, the failure analysis module further evaluates the severity, the occurrence and the detection degree of the failure when forming the failure analysis table;
the failure analysis table comprises the following contents: process, functional requirements, product characteristics, failure modes, failure consequences, severity, process characteristics, failure causes, preventive measures, frequency, detection measures, action priority and risk comprehensive coefficients.
Optionally, the optimized item list comprises the following: failure mode, failure consequence, severity, failure reason, preventive measures, frequency, detection degree, action priority, risk comprehensive coefficient and addition optimization;
optionally, when the optimization module forms the optimization measure table, the optimized severity, occurrence and detection degree are evaluated again;
the optimization measure table comprises information of a current state and a target state, wherein the current state comprises failure consequences, severity, failure reasons, preventive measures, frequency, detection measures, detection degrees, action priority and risk comprehensive coefficients; the target state comprises preventive measures, detection measures, responsible persons, target date, completion date, verification, remarks, severity, frequency, detection degree, action priority, risk comprehensive coefficient and state.
Another embodiment of the present invention provides a structured PFMEA analysis method, comprising:
determining a production process of a product to be subjected to PFMEA analysis;
splitting the determined project into sub-processes or sub-process steps, and performing structured presentation;
identifying all identified process elements of the sub-processes or sub-processes of the bottom level;
the function determining module is used for determining all functions of items, sub-processes or sub-process steps and elements;
identifying the product characteristics after the determined project function to obtain project product characteristics;
identifying the product characteristics of the sub-working procedures or the sub-working procedures after the determined functions of the sub-working procedures or the sub-working procedures are performed, and obtaining the characteristics of the working procedure products;
identifying the process characteristics of the elements after the determined element functions to obtain the element process characteristics;
identifying an association between project product characteristics and process product characteristics, and identifying an association between process product characteristics and process element process characteristics to form a characteristic chain and a function chain;
determining the corresponding failure of each functional characteristic;
identifying failure reasons from element failures and evaluating the occurrence degree of the failure reasons, evaluating the influence of process failures on project functions and evaluating the severity of the influence of the process failures so as to form failure relations among projects, sub-processes or sub-process steps and elements;
according to the analysis of failure reasons, adding preventive measures and evaluating the frequency, and adding detection measures and evaluating the detection degree;
forming a failure analysis table based on the analysis result;
determining items to be optimized according to the risk optimization requirement, forming an optimized item list and forming an optimized measure table;
and (4) deriving information related to the project to form a formatted PFMEA report.
Optionally, the identifying the association between the project product characteristics and the process product characteristics, and the identifying the association between the process product characteristics and the process element process characteristics to form the characteristic chain and the function chain includes:
identifying the incidence relation between the project product characteristics and the process product characteristics through the product characteristic matrix;
identifying the incidence relation between the process product characteristics and the process element process characteristics through the process characteristic matrix;
and forming a characteristic chain and a function chain based on the identified association relationship between the project product characteristics and the process product characteristics and the association relationship between the process product characteristics and the process element process characteristics.
Optionally, when the failure analysis table is formed, the severity, the occurrence and the detection degree of the failure are evaluated again;
the failure analysis table comprises the following contents: process, functional requirements, product characteristics, failure modes, failure consequences, severity, process characteristics, failure causes, preventive measures, frequency, detection measures, action priority and risk comprehensive coefficients.
Optionally, the optimized item list comprises the following: failure mode, failure consequence, severity, failure cause, precautionary measures, frequency, exploration level, action priority, risk composition factor, and join optimization.
Optionally, when the optimization measure table is formed, the severity, the occurrence degree and the detection degree after optimization are evaluated again;
the optimization measure table comprises information of a current state and a target state, wherein the current state comprises failure consequences, severity, failure reasons, preventive measures, frequency, detection measures, detection degrees, action priority and risk comprehensive coefficients; the target state comprises preventive measures, detection measures, responsible persons, target date, completion date, verification, remarks, severity, frequency, detection degree, action priority, risk comprehensive coefficient and state.
According to the structured PFMEA analysis system and method provided by the embodiment of the invention, as the structured analysis method is adopted to analyze the project and formulate the PFMEA analysis report, the functions are complete, the logic is clear, the reason is clear, the measures are proper, and the like, and the expected effect of PFMEA application can be achieved.
Drawings
FIG. 1 is a schematic structural diagram of a structured PFMEA analysis system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a sub-process or process created by an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating element identification according to an embodiment of the present invention;
FIG. 4 is a functional list diagram according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of feature recognition according to an embodiment of the present invention;
FIG. 6 is a functional & property chain diagram of an embodiment of the present invention;
FIG. 7 is a failure diagram corresponding to the functional characteristics of an embodiment of the present invention;
FIG. 8 is a schematic diagram of failure relationships between items, sub-processes or steps, and elements according to an embodiment of the present invention;
FIG. 9 is a failure tree representation of an illustrative example of an embodiment of the invention;
FIG. 10 is a schematic diagram of a measure tree of an embodiment of the present invention;
FIG. 11 is a schematic flow chart of a structured PFMEA analysis method according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
FIG. 1 is a schematic structural diagram of a structured PFMEA analysis system according to an embodiment of the present invention; FIG. 2 is a schematic diagram of a sub-process or process created by an embodiment of the present invention; FIG. 3 is a schematic diagram illustrating element identification according to an embodiment of the present invention; FIG. 4 is a functional list diagram according to an embodiment of the present invention; FIG. 5 is a schematic diagram of feature recognition according to an embodiment of the present invention; FIG. 6 is a functional & property chain diagram of an embodiment of the present invention; FIG. 7 is a failure diagram corresponding to the functional characteristics of an embodiment of the present invention; FIG. 8 is a schematic diagram of failure relationships between items, sub-processes or steps, and elements according to an embodiment of the present invention; FIG. 9 is a failure tree representation of an illustrative example of an embodiment of the invention; FIG. 10 is a diagram of a measure tree according to an embodiment of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a structured PFMEA analysis system, including: the system comprises a project determining module 1, a process/step determining module 2, an element identifying module 3, a function determining module 4, a characteristic identifying module 5, a characteristic chain and function chain determining module 6, a failure analyzing module 7, an optimizing module 8 and an output module 9.
The item determination module 1 is used for determining the production process of the product to be subjected to PFMEA analysis according to actual conditions.
The procedure/process step determining module 2 is configured to split the project determined by the project determining module 1 into component procedures or component process steps, and perform structured presentation to form a "procedure tree", as shown in fig. 2.
And the element identification module 3 is used for identifying all the process elements of the sub-processes or the sub-process steps of the lowest layer determined by the identified process/process step determination module 2. Elements are human, machine, material and environment factors necessary for influencing the product implementation process, and the identification example can be shown in fig. 3.
And a function determining module 4, configured to determine all functions of the item, the sub-process or the sub-process step, and the element, and form a list by using the determined functions, as shown in fig. 4.
A characteristic identification module 5 for: identifying the product characteristics after the determined project function to obtain project product characteristics; identifying the product characteristics of the sub-processes or sub-process steps after the determined sub-process or sub-process step functions to obtain process product characteristics, and identifying the process characteristics of the elements after the determined element functions to obtain element process characteristics. The characteristics identified using the characteristic identification module may be as shown in fig. 5.
And a property chain and function chain determining module 6 for identifying the correlation between the project product properties and the process product properties and the correlation between the process product properties and the process element process properties to form a property chain and a function chain. Specifically, the characteristic chain and function chain determination module 6 may form the characteristic chain and function chain by:
identifying the incidence relation between the project product characteristics and the process product characteristics through the product characteristic matrix;
identifying the incidence relation between the process product characteristics and the process element process characteristics through the process characteristic matrix;
and forming a characteristic chain and a function chain based on the identified association relationship between the project product characteristics and the process product characteristics and the association relationship between the process product characteristics and the process element process characteristics.
In one example, such as the characteristic matrix analysis for the "OP10.01.02 process step 10.01.02," the analysis is as follows:
< product characteristics matrix >
(Note: equivalence means that the process product characteristics are project product characteristics; correlation means that the process product characteristics are not completely equivalent to the project product characteristics and the final product characteristics evolve upon completion), "influence means that the process product characteristics are not directly linked to the project product characteristics but influence the project product characteristics)
< Process characteristics matrix >
(Note: "Y" indicates correlation)
From the property matrix, corresponding properties and function chains can be formed, e.g., a function & property chain for "project function 01" can be shown in FIG. 7.
A failure analysis module 7 for: determining the corresponding failure of each functional characteristic; identifying failure reasons from element failures and evaluating the occurrence degree of the failure reasons, evaluating the influence of process failures on project functions and evaluating the severity of the influence of the process failures so as to form failure relations among projects, sub-processes or sub-process steps and elements; according to the analysis of failure reasons, adding preventive measures and evaluating the frequency, and adding detection measures and evaluating the detection degree; and forming a failure analysis table based on the analysis result.
Specifically, the failure analysis module 7 first describes the failure corresponding to each functional characteristic, and forms a "failure tree", as shown in the description of "OP10.01.02: the failure tree for step function 01 "is shown in FIG. 8; then identifying failure reasons from element failures downwards and evaluating the occurrence degree of the failure reasons, upwards evaluating the influence of process failures on project functions and evaluating the severity of failure influences, forming failure relations among projects, sub-processes or process steps and elements, and establishing a failure tree as shown in FIG. 8; for example, a failure tree for "project failure 01" for "project function 01" may be as shown in FIG. 9.
Then, adding preventive measures according to the analysis of failure reasons, and scoring the frequency according to an industry recommended scoring rule or an enterprise custom scoring rule; adding detection measures, and scoring the detection degree according to an industry recommended scoring rule or an enterprise customized scoring rule; a "measure tree" is formed, as shown in fig. 10. After the analysis, failure analysis table is formed. The severity, incidence and detection scores can be evaluated again in the failure analysis table for confirmation. The failure analysis table may include the following: the process, functional requirements, product characteristics, failure modes, failure consequences, severity, process characteristics, failure causes, preventive measures, frequency, detection measures, action priorities and risk comprehensive coefficients are shown in the following table:
and the optimization module 8 is used for determining the items to be optimized according to the risk optimization requirements, forming an optimized item list and forming an optimization measure table.
Wherein, the optimized item list can comprise the following contents: failure mode, failure consequence, severity, failure cause, preventive measures, frequency, exploration level, action priority, risk comprehensive coefficient and addition optimization, as shown in the following table:
in addition, when the optimization module 8 forms the optimization measure table, the optimized severity, occurrence degree and detection degree are evaluated again; the optimization measure table comprises information of a current state and a target state, wherein the current state comprises failure consequences, severity, failure reasons, preventive measures, frequency, detection measures, detection degrees, action priority and risk comprehensive coefficients; the target state comprises preventive measures, detection measures, responsible persons, target date, completion date, verification, remarks, severity, frequency, detection degree, action priority, risk comprehensive coefficient and state. The format of the "optimization measures table" is shown in the following table:
and the output module 9 is used for deriving information related to the project according to the analysis of the modules and forming a formatted PFMEA report.
Based on the same inventive concept, the embodiment of the present invention further provides a structured PFMEA analysis method, and since the principle of the problem solved by the method is similar to that of the foregoing system, the implementation of the method can be referred to the implementation of the foregoing platform, and repeated details are omitted.
As shown in fig. 11, an embodiment of the present invention provides a structured PFMEA analysis method, including the following:
determining a production process of a product to be subjected to PFMEA analysis;
splitting the determined project into sub-processes or sub-process steps, and performing structured presentation;
identifying all identified process elements of the sub-processes or sub-processes of the bottom level;
the function determining module is used for determining all functions of items, sub-processes or sub-process steps and elements;
identifying the product characteristics after the determined project function to obtain project product characteristics;
identifying the product characteristics of the sub-working procedures or the sub-working procedures after the determined functions of the sub-working procedures or the sub-working procedures are performed, and obtaining the characteristics of the working procedure products;
identifying the process characteristics of the elements after the determined element functions to obtain the element process characteristics;
identifying an association between project product characteristics and process product characteristics, and identifying an association between process product characteristics and process element process characteristics to form a characteristic chain and a function chain;
determining the corresponding failure of each functional characteristic;
identifying failure reasons from element failures and evaluating the occurrence degree of the failure reasons, evaluating the influence of process failures on project functions and evaluating the severity of the influence of the process failures so as to form failure relations among projects, sub-processes or sub-process steps and elements;
according to the analysis of failure reasons, adding preventive measures and evaluating the frequency, and adding detection measures and evaluating the detection degree;
forming a failure analysis table based on the analysis result;
determining items to be optimized according to the risk optimization requirement, forming an optimized item list and forming an optimized measure table;
and (4) deriving information related to the project to form a formatted PFMEA report.
Further, the identifying the association between the project product characteristics and the process product characteristics, and the identifying the association between the process product characteristics and the process element process characteristics to form the characteristic chain and the function chain includes:
identifying the incidence relation between the project product characteristics and the process product characteristics through the product characteristic matrix;
identifying the incidence relation between the process product characteristics and the process element process characteristics through the process characteristic matrix;
and forming a characteristic chain and a function chain based on the identified association relationship between the project product characteristics and the process product characteristics and the association relationship between the process product characteristics and the process element process characteristics.
Further, when a failure analysis table is formed, the severity, the occurrence degree and the detection degree of the failure are evaluated again;
the failure analysis table comprises the following contents: process, functional requirements, product characteristics, failure modes, failure consequences, severity, process characteristics, failure causes, preventive measures, frequency, detection measures, action priority and risk comprehensive coefficients.
Further, the optimized item list includes the following: failure mode, failure consequence, severity, failure reason, preventive measures, frequency, detection degree, action priority, risk comprehensive coefficient and addition optimization;
further, when an optimization measure table is formed, the severity, the occurrence degree and the detection degree after optimization are evaluated again;
the optimization measure table comprises information of a current state and a target state, wherein the current state comprises failure consequences, severity, failure reasons, preventive measures, frequency, detection measures, detection degrees, action priority and risk comprehensive coefficients; the target state comprises preventive measures, detection measures, responsible persons, target date, completion date, verification, remarks, severity, frequency, detection degree, action priority, risk comprehensive coefficient and state.
The above steps can be realized by the above modules, and are not described herein again. And the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
In summary, the structured PFMEA analysis system and method provided by the embodiments of the present invention can make PFMEA analysis reports by analyzing the items using the structured analysis method, so that the system and method can achieve the expected effect of PFMEA application, with complete function, clear logic, clear reasons, appropriate measures, and the like.
The above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. A structured PFMEA analysis system, comprising:
the item determination module is used for determining the production process of the product to be subjected to PFMEA analysis;
the process/work step determining module is used for dividing the project determined by the project determining module into sub-processes or sub-work steps and performing structured presentation;
the element identification module is used for identifying all the process elements of the sub-processes or the sub-process steps of the lowest level determined by the identified process/step determination module;
the function determining module is used for determining all functions of items, sub-processes or sub-process steps and elements;
a characteristic identification module to: identifying the product characteristics after the determined project function to obtain project product characteristics; identifying the product characteristics of the sub-processes or the sub-process steps after the determined sub-processes or the sub-process step functions to obtain the process product characteristics, and identifying the process characteristics of the elements after the determined element functions to obtain the element process characteristics;
a characteristic chain and function chain determination module for identifying an association between project product characteristics and process product characteristics, and identifying an association between process product characteristics and process element process characteristics to form a characteristic chain and a function chain;
the method for identifying the association between the project product characteristics and the process product characteristics and identifying the association between the process product characteristics and the process element process characteristics to form the characteristic chain and the function chain comprises the following steps: identifying the incidence relation between the project product characteristics and the process product characteristics through the product characteristic matrix;
identifying the incidence relation between the process product characteristics and the process element process characteristics through the process characteristic matrix;
forming a characteristic chain and a function chain based on the identified incidence relation between the project product characteristics and the process product characteristics and the incidence relation between the process product characteristics and the process element process characteristics;
a failure analysis module to: determining the corresponding failure of each functional characteristic; identifying failure reasons from element failures and evaluating the occurrence degree of the failure reasons, evaluating the influence of process failures on project functions and evaluating the severity of the influence of the process failures so as to form failure relations among projects, sub-processes or sub-process steps and elements; according to the analysis of failure reasons, adding preventive measures and evaluating the frequency, and adding detection measures and evaluating the detection degree; and forming a failure analysis table based on the analysis result;
the failure analysis module firstly describes failures corresponding to each functional characteristic to form a failure tree; then identifying failure reasons from element failures downwards, evaluating the occurrence degree of the failure reasons, upwards evaluating the influence of process failures on project functions and evaluating the severity of the failure influence, forming failure relations among projects, sub-processes or process steps and elements, and establishing a failure tree;
then, adding preventive measures according to the analysis of failure reasons, and scoring the frequency according to an industry recommended scoring rule or an enterprise custom scoring rule; adding detection measures, and scoring the detection degree according to an industry recommended scoring rule or an enterprise customized scoring rule; forming a measure tree;
the optimization module is used for determining the items to be optimized according to the risk optimization requirement, forming an optimized item list and forming an optimization measure table;
and the output module is used for exporting the information related to the project and forming a formatted PFMEA report.
2. The system of claim 1, wherein the failure analysis module, in forming the failure analysis table, further re-evaluates the severity, incidence, and detection of the failure;
the failure analysis table comprises the following contents: process, functional requirements, product characteristics, failure modes, failure consequences, severity, process characteristics, failure causes, preventive measures, frequency, detection measures, action priority and risk comprehensive coefficients.
3. The system of claim 1, wherein the optimized item list comprises the following: failure mode, failure consequence, severity, failure cause, precautionary measures, frequency, exploration level, action priority, risk composition factor, and join optimization.
4. The system of claim 1, wherein the optimization module, in forming the optimization action table, further re-evaluates the optimized severity, occurrence, and detection;
the optimization measure table comprises information of a current state and a target state, wherein the current state comprises failure consequences, severity, failure reasons, preventive measures, frequency, detection measures, detection degrees, action priority and risk comprehensive coefficients; the target state comprises preventive measures, detection measures, responsible persons, target date, completion date, verification, remarks, severity, frequency, detection degree, action priority, risk comprehensive coefficient and state.
5. A structured PFMEA analysis method, comprising:
determining a production process of a product to be subjected to PFMEA analysis;
splitting the determined project into sub-processes or sub-process steps, and performing structured presentation;
identifying all identified process elements of the sub-processes or sub-processes of the bottom level;
the function determining module is used for determining all functions of items, sub-processes or sub-process steps and elements;
identifying the product characteristics after the determined project function to obtain project product characteristics;
identifying the product characteristics of the sub-working procedures or the sub-working procedures after the determined functions of the sub-working procedures or the sub-working procedures are performed, and obtaining the characteristics of the working procedure products;
identifying the process characteristics of the elements after the determined element functions to obtain the element process characteristics;
identifying an association between project product characteristics and process product characteristics, and identifying an association between process product characteristics and process element process characteristics to form a characteristic chain and a function chain;
determining the corresponding failure of each functional characteristic;
identifying failure reasons from element failures and evaluating the occurrence degree of the failure reasons, evaluating the influence of process failures on project functions and evaluating the severity of the influence of the process failures so as to form failure relations among projects, sub-processes or sub-process steps and elements;
according to the analysis of failure reasons, adding preventive measures and evaluating the frequency, and adding detection measures and evaluating the detection degree;
forming a failure analysis table based on the analysis result;
determining items to be optimized according to the risk optimization requirement, forming an optimized item list and forming an optimized measure table;
and (4) deriving information related to the project to form a formatted PFMEA report.
6. The method of claim 5, wherein identifying associations between project product characteristics and process product characteristics, and identifying associations between process product characteristics and process element process characteristics to form a chain of characteristics and a chain of functions comprises:
identifying the incidence relation between the project product characteristics and the process product characteristics through the product characteristic matrix;
identifying the incidence relation between the process product characteristics and the process element process characteristics through the process characteristic matrix;
and forming a characteristic chain and a function chain based on the identified association relationship between the project product characteristics and the process product characteristics and the association relationship between the process product characteristics and the process element process characteristics.
7. The method of claim 5, wherein in forming the failure analysis table, the severity, incidence and detection of the failure are also re-evaluated;
the failure analysis table comprises the following contents: process, functional requirements, product characteristics, failure modes, failure consequences, severity, process characteristics, failure causes, preventive measures, frequency, detection measures, action priority and risk comprehensive coefficients.
8. The method of claim 5, wherein the optimized item list comprises the following: failure mode, failure consequence, severity, failure cause, precautionary measures, frequency, exploration level, action priority, risk composition factor, and join optimization.
9. The method of claim 5, wherein in forming the optimization measure table, the optimized severity, occurrence and detection are also re-evaluated;
the optimization measure table comprises information of a current state and a target state, wherein the current state comprises failure consequences, severity, failure reasons, preventive measures, frequency, detection measures, detection degrees, action priority and risk comprehensive coefficients; the target state comprises preventive measures, detection measures, responsible persons, target date, completion date, verification, remarks, severity, frequency, detection degree, action priority, risk comprehensive coefficient and state.
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