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Analysis And Research Of FMECA Method Based On Improved Interval Hesitation Fuzzy TODIM

Posted on:2019-05-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhaoFull Text:PDF
GTID:2439330566484045Subject:Quality Engineering and Management
Abstract/Summary:PDF Full Text Request
Potential Failure mode,Effects and Criticality Analysis(Failure Modes,Effects and Criticality Analysis,FMECA)is a method of system safety analysis.Its main task is to analyze all possible failure modes of products before selling products to customers,and classify the severity of the failure modes.The method is often used in the early stages of the system,design,process and service,with the complex of the modern system.However,with the complexity of modern systems,through the use of current data,previous historical documents and the knowledge and experience of experts in various professional fields,the search and analysis of the failure modes of the products have caused the special application environment of the FMECA method-a highly uncertain analysis environment.It includes: the fuzzy uncertainty caused by all effective data due to the limitation of the actual conditions;the fuzzy uncertainty among the expert members caused by the complex and diverse professional background of the expert members;the fuzzy uncertainty of the FMECA team members themselves to the failure mode judgment.This fuzzy uncertainty results in distortion and inaccuracy caused by FMECA method in quantitative analysis.In this context,the interval hesitant fuzzy FMECA method,which can quantify the fuzzy uncertainty,is proposed in this paper to improve the accuracy and effectiveness of the method.The main research methods and research results of this paper are as follows:(1)A new method for ranking the damage degree of failure mode is constructed.In the first place,the fuzzy number of the uncertainty of the human being in the evaluation is in accordance with the human thinking and judgment ability.Then,by using multiple attribute decision making method TODIM three evaluation factor S,O,D as three attributes of failure mode,for computing the ranking value of its final,the biggest impact of the failure modes are selected,the higher priority,indicated that the potential failure mode is more important,the more serious the impact.(2)Propose to establish the failure model of risk factors for class hierarchy.Refer to the principle of analytic hierarchy process,according to the characteristics of problem to be solved and to achieve the goal,the problem is decomposed into differentindicators,according to the interaction relationship between the various indicators and the subordinate relations,will be divided into different levels,every index of any level index as a criterion to the next level index reigns,at the same time be a slave to a level indicator,of course,this relationship is not necessarily a complete domination,namely a hierarchy index does not dominate the next level of all the indicators,from high to low,the formation of a multi-level index structure model,the complex decision-making system into a simple primary hierarchy decision system.(3)Propose the interval hesitant fuzzy FMECA method using TODIM decision-making method for failure modes and effects analysis.In the process of calculation,considering the differences between experts in the field of design,respectively take the objective entropy weight method and subjective expert judgment method to get the subjective and objective weights of risk factors,make the results more in line with the actual situation.Then according to the risk factors for the interaction relationship between failure mode risk factors of multi-layer structure,divided into risk factors of advantage degree between the major failure modes are obtained to determine its priority.Managers can prioritize the potential failure modes.When the products are sold to customers,they are given priority to the high priority failure mode,and the more important failure modes can be properly prevented,measures are taken to reduce the probability of failure,and the reliability and safety of each link of the system are maintained.
Keywords/Search Tags:FMECA, Interval-valued hesitant fuzzy set, Hierarchical structure, Comprehensive weight
PDF Full Text Request
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