• Title/Summary/Keyword: Failure Mode and Effect Analysis (FMEA)

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Approach to Method of Process Failure Mode and Effect Analysis for Construction Industry (건설업에서의 시공FMEA적용 방안 연구)

  • Kim Yoon-Sung
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.271-274
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    • 2002
  • The aim of FMEA method which is already generalized in the industry engineering is to grasp a possibility that defect forms will appear. And it is a means of prevention step to let person remove obstacles which have an influence on customers beforehand in order. The two parts of FMEA are Design FMEA which we prepare in an early stage and Process FMEA which we prepare in time previous to mass production. This Study apply Process FMEA to execution fields of the construction industry.

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Case Study on Improvement of Hospital Foodservice by Introduction of FMEA Techniques - Focus on Food Delivery Service Quality and Customer Satisfaction - (FMEA 기법 도입을 통한 병원 급식 품질 개선 사례 연구 - 배선서비스 품질 개선 및 환자만족도 중심으로 -)

  • Kim, Hye-Jin;Hong, Jeong-Im;Heo, Gyu-Jin
    • Journal of the Korean Dietetic Association
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    • v.21 no.1
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    • pp.25-36
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    • 2015
  • In this study, we attempted to improve hospital food delivery service quality and customer satisfaction by using FMEA (Failure Mode and Effect Analysis), which is applied to the quality control of products in manufacturing plants. Subjective food delivery service quality improvement was judged based on a 5-point likert scale. Traditional FMEA uses an RPN (Risk priority number) to evaluate the risk level of a component or process. The RPN index was determined by calculating the product of severity, occurrence, and detection indexes. In our results, total RPN value (P<0.01) significantly decreased after FMEA introduction, whereas customer satisfaction (P<0.001) and food delivery service quality (P<0.001) significantly increased. Specifically, foodservice errors (P<0.01) and loss cost (P<0.01) were significantly improved by FMEA introduction. Taken together, we suggest that FMEA reduces critical activities and errors in foodservice delivery caused by simple priority selection.

Reliability Analysis of Machinery system for Failure Mode and Effect Analysis (FMEA를 이용한 기계류 시스템의 신뢰도 분석)

  • 진도훈;우태수;이치우
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2002.10a
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    • pp.30-35
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    • 2002
  • This paper dealt with FMEA, which is a method of the analysis to secure safety and confidence coming up to customers'expectation in consideration of the environment of the corporation, the industrial environment, and the functional improvement. And by using FMEA, We showed the example analyzed the confidence of the Air Supply System. It was proved by the result of the analysis that the rate of the breakdown which is usually regarded as the first important point to reform can't satisfy the selecting basis to improve. Also the result said that it is not right to depend on only the rate of the failure in making the list of the reform. Through the analysis of the breakdown, FMEA can present the important factors of the reform to improve the confidence of the system. In this study would show the important factors of the improvement in order to product the goods guaranteed confidence through the method of FMEA.

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A Study on the Common RPN Model of Failure Mode Evaluation Analysis(FMEA) and its Application for Risk Factor Evaluation (위험 요인 평가를 위한 FMEA의 일반 RPN 모형과 활용에 관한 연구)

  • Cho, Seong Woo;Lee, Han Sol;Kang, Juyoung
    • Journal of Korean Society for Quality Management
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    • v.50 no.1
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    • pp.125-138
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    • 2022
  • Purpose: Failure Mode and Effect Analysis (FMEA) is a widely utilized technique to measure product reliability by identifying potential failure modes. Even though FMEA techniques have been studied, the form of Risk Priority Number (RPN) used to evaluate risk priority in FMEA is still questionable because of its shortcomings. In this study, we suggest common RPN(cRPN) to resolve shortcomings of the traditional RPN and show the extensibility of cRPN. Methods: We suggest cRPN which is based on Cobb-Douglas production function, and represent the various application on weighting risk factors, weighted RPN in a mathematical way, and show the possibility of statistical approach. We also conduct numerical study to examine the difference of the traditional RPN and cRPN as well as the potential application from the analysis on marginal effects of each risk factor. Results: cRPN successfully integrates previously suggested approaches especially on the relative importance of risk factors and weighting RPN. Moreover, we analyze the effect of corrective actions in terms of econometric analysis using cRPN. Since cRPN is rely on the reliable mathematical model, there would be numerous applications using cRPN such as smart factory based on A.I. techniques. Conclusion: We propose a reliable mathematical model of RPN based on Cobb-Douglas production function. Our suggested model, cRPN, resolves various shortcomings such as consideration of the relative importance, the effect of combinations among risk factors. In addition, by adopting a reliable mathematical model, quantitative approaches are expected to be applied using cRPN. We find that cRPN can be utilized to the field of industry because it is able to be applied without modifying the entire systems or the conventional actions.

Selection of Single Point Vulnerability through the Failure Mode Effect Analysis of Equipment in Newly built Nuclear Power Plant (신규원전의 기기별 고장분석을 통한 발전정지유발기기 선정)

  • Hyun, Jin-Woo;Yeom, Dong-Un;Song, Tae-Young
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.4
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    • pp.509-512
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    • 2012
  • For decreasing an unexpected shutdown of Nuclear Power Plants, Korea Hydro & Nuclear Power co.(KHNP) has developed Single Point Vulnerability(SPV) of NPPs since 2008. SPV is the equipment that cause reactor shutdown & turbine trip or more than 50% power rundown due to its malfunction. Newly built Nuclear Power Plants need to develop the SPV list, so performed the job which analyse equipment failure effect for SPV selection for 1 year. To develop this, Failure Mode Effect Analysis(FMEA) and Fault Tree Analysis(FTA) methods are used. As results of this analysis, about 900 equipment are selected as SPV. Thereafter those are going to be applied to Nuclear Power Plants to enhance equipment reliability.

Service System Design Using Fuzzy Service FMEA and HOQ Matrix Algebra (Fuzzy Service FMEA 및 HOQ 행렬 대수를 이용한 서비스 시스템 설계)

  • Kim, Jun-Hong
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.35 no.3
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    • pp.155-162
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    • 2012
  • This study proposes an integrated approach that uses both a fuzzy service FMEA (failure mode and effect analysis) and HOQ (house of quality) matrix algebra in designing and improving a service system. The fuzzy service FMEA methodology applies the customer satisfaction to the fuzzy RPN model. We fuzzify only the service satisfaction that consist in two failure factors, intangible service and tangible service, to more effectively assess the customer satisfactions on service encounters. Proposed fuzzy service satisfactions with triangle membership function are defuzzified by using the Fuzzy Inference System, and these are eventually identified the ranks on the potential fail points. HOQ matrices are constructed from cause-effect relationships. It is possible for these relationship matrix to find a linear approximation solution on the engineering attributes. Thus, in order to demonstrate how the proposed methods work, practical sample of the A/S part in S Electronic Co. provides for the ranking of the engineering attributes which has been successfully implemented.

A Study on FMEA Analysis Method for Fault Diagnosis and Predictive Maintenance of the Railway Systems (철도시스템 이상진단 및 예지정비를 위한 FMEA 분석 방안 연구)

  • Wang Seok Oh;Kyeong Hwa Kim;Jaehoon Kim
    • Journal of the Korean Society of Safety
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    • v.38 no.5
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    • pp.43-50
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    • 2023
  • With the advent of industrialization, consumers and end-users demand more reliable products. Meeting these demands requires a comprehensive approach, involving tasks such as market information collection, planning, reliable raw material procurement, accurate reliability design, and prediction, including various reliability tests. Moreover, this encompasses aspects like reliability management during manufacturing, operational maintenance, and systematic failure information collection, interpretation, and feedback. Improving product reliability requires prioritizing it from the initial development stage. Failure mode and effect analysis (FMEA) is a widely used method to increase product reliability. In this study, we reanalyzed using the FMEA method and proposed an improved method. Domestic railways lack an accurate measurement method or system for maintenance, so maintenance decisions rely on the opinions of experienced personnel, based on their experience with past faults. However, the current selection method is flawed as it relies on human experience and memory capacity, which are limited and ineffective. Therefore, in this study, we further specify qualitative contents to systematically accumulate failure modes based on the Failure Modes Table and create a standardized form based on the Master FMEA form to newly systematize it.

On the Development of an FMEA Method for Automotive Safety Utilizing Design Traceability (자동차 안전성 설계에서 설계 추적성을 활용한 고장형태 영향분석에 관한 연구)

  • Lim, Gwan-Taik;Lee, Jae-Chon
    • Journal of the Korea Safety Management & Science
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    • v.15 no.1
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    • pp.11-19
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    • 2013
  • In modern systems design and development, one of the key issues is considered to be related with how to reflect faithfully the stakeholder requirements including customer requirements therein, thereby successfully implementing the system functions derived from the requirements. On the other hand, the issue of safety management is also becoming greatly important these days, particularly in the operational phase of the systems under development. An approach to safety management can be based on the use of the failure mode effect and analysis (FMEA), which has been a core method adopted in automotive industry to reduce the potential failure. The fact that a successful development of cars needs to consider both the complexity and failure throughout the whole life cycle calls for the necessity of applying the systems engineering (SE) process. To meet such a need, in this paper a method of FMEA is developed based on the SE concept. To do so, a process model is derived first in order to identify the required activities that must be satisfied in automotive design while reducing the possibility of failure. Specifically, the stakeholder requirements were analyzed first to derive a set of functions, which subsequentially leads to the task of identifying necessary HW/SW components. Then the derived functions were allocated to appropriate HW/SW components. During this design process, the traceability between the functions and HW/SW components were generated. The traceability can play a key role when FMEA is performed to predict the potential failure that can be described with the routes from the components through the linked functions. As a case study, the developed process model has been applied in a project carried out in practice. The results turned out to demonstrate the usefulness of the approach.

A Risk Evaluation Procedure in FMEA for Failure Causes including Common Cause Failures (FMEA에서 공통원인고장이 포함될 경우의 고장원인에 대한 위험평가 절차)

  • Kim, Byung Nam;Kwon, Hyuck Moo;Hong, Sung Hoon;Lee, Min Koo
    • Journal of Korean Society for Quality Management
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    • v.46 no.2
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    • pp.327-338
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    • 2018
  • Purpose: A risk evaluation procedure is proposed for common failure causes in FMEA(Failure Mode and Effects Analysis). The conventional FMEA does not provide a proper means to compare common failure causes with other failure causes. This research aims to develop a risk evaluation procedure in FMEA where common failure causes and other failure causes exist together. Methods: For each common failure cause, the effect of each combination of its resulting failures is recommended to be reevaluated considering their interactive worsening effect. And the probability that each combination of failures is incurred by the same common cause is also considered. Based on these two factors, the severity of each common cause is determined. Other procedures are similar to the conventional method. Results: The proposed procedure enables to compare and prioritize every failure cause. Thus, the common causes, each of which incurring two or more failures, and other causes, each of which is corresponding to one failure, can be fairly compared. Conclusion: A fair and proper way of comparing the common failure causes and other causes is provided. The procedure is somewhat complicated and requires more works to do. But it is worth to do.

Service System Design Using Fuzzy Service FMEA (퍼지 서비스 FMEA를 이용한 서비스 시스템 설계)

  • Kim, Jun-Hong;Yoo, Jung-Sang
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.31 no.4
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    • pp.162-167
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    • 2008
  • FMEA (failure mode and effect analysis)is a widely used technique to assess or to improve reliability of product not only at early stage of design and development, but at the process and service phase during the product life cycle. In designing a service system, this study proposes a fuzzy service FMEA with the service blueprints as a tool which describes customer actions, onstage contact employees actions, backstage contact employees actions, support processes, and physical evidences, in order to analyse and inform service delivery system design. We fuzzified only two risk factors, occurrence and severity, to more effectively assess the potential failure modes in service. Proposed fuzzy risk grades are applied to Gaussian membership function, defuzzified into Fuzzy Inference System, and eventually identified the ranks on the potential fail points.