• 한국산학기술학회논문지
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• 제22권1호
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• pp.751-758
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• 2021

군수품은 품질 보증을 위해 개발과 양산단계에서 위험 식별을 수행해야 한다. 위험 식별은 부품, 구성품, 계통 등에 대한 고장 요소를 분석하는 것으로, 다양한 신뢰성 기법 중에서 고장 모드 영향 분석(FMEA)을 이용하고 있다. FMEA는 위험 식별 중 고장 요인에 대하여 분석하는 방법으로, 위험도(RPN)를 통해 관리할 수 있다. FMEA는 심각도, 발생도, 검출도가 같은 중요도로 평가되기 때문에 단점을 가진다. 퍼지 FMEA는 FMEA의 단점을 보완하기 위해 퍼지이론을 이용한 것이다. 퍼지 이론은 현상의 불확실한 상태를 표현해주는 방법으로, 정량적인 값을 제공한다. 본 논문에서, 퍼지 FMEA는 회전익 항공기 착륙장치의 고장 모드에 대한 객관적인 평가를 위해 적용되었다. 착륙장치에 대한 위험도 분석을 위해, 퍼지 규칙과 소속 함수를 구성하였다. 퍼지화 모델은 심각도, 발생도, 검출도의 크리스프(crisp) 값을 이용하였고, 위험도를 도출하였다. 착륙장치에 대한 퍼지 FMEA 결과는 위험도와 우선순위를 분석할 수 있다. 퍼지 FMEA는 회전익 항공기의 품질 보증 활동에서 기초자료로 활용할 수 있음을 확인하였다.

• 산업경영시스템학회지
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• 제35권3호
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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.

• 한국안전학회지
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• 제36권2호
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• pp.49-57
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• 2021

In the case of military supplies, any potential failure and causes of failures must be considered. This study is aimed at examining the failure modes of a rotorcraft landing system to identify the priority items. Failure mode and effects analysis (FMEA) is applied to the rotorcraft landing system. In general, the FMEA is used to evaluate the reliability in engineering fields. Three elements, specifically, the severity, occurrence, and detectability are used to evaluate the failure modes. The risk priority number (RPN) can be obtained by multiplying the scores or the risk levels pertaining to severity, occurrence, and detectability. In this study, different weights of the three elements are considered for the RPN assessment to implement the FMEA. Furthermore, the FMEA is implemented using a fuzzy rule base, similarity aggregation model (SAM), and grey theory model (GTM) to perform a comparative analysis. The same input data are used for all models to enable a fair comparison. The FMEA is applied to military supplies by considering methodological issues. In general, the fuzzy theory is based on a hypothesis regarding the likelihood of the conversion of the crisp value to the fuzzy input. Fuzzy FMEA is the basic method to obtain the fuzzy RPN. The three elements of the FMEA are used as five linguistic terms. The membership functions as triangular fuzzy sets are the simplest models defined by the three elements. In addition, a fuzzy set is described using a membership function mapping the elements to the intervals 0 and 1. The fuzzy rule base is designed to identify the failure modes according to the expert knowledge. The IF-THEN criterion of the fuzzy rule base is formulated to convert a fuzzy input into a fuzzy output. The total number of rules is 125 in the fuzzy rule base. The SAM expresses the judgment corresponding to the individual experiences of the experts performing FMEA as weights. Implementing the SAM is of significance when operating fuzzy sets regarding the expert opinion and can confirm the concurrence of expert opinion. The GTM can perform defuzzification to obtain a crisp value from a fuzzy membership function and determine the priorities by considering the degree of relation and the form of a matrix and weights for the severity, occurrence, and detectability. The proposed models prioritize the failure modes of the rotorcraft landing system. The conventional FMEA and fuzzy rule base can set the same priorities. SAM and GTM can set different priorities with objectivity through weight setting.

• 한국지능시스템학회논문지
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• 제25권2호
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• pp.174-179
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• 2015

동적 위치제어 시스템(Dynamic Positioning System)의 위험성과 신뢰성 평가에 FMEA(Failure Mode and Effect Analysis)를 적용하고 있으나, 해양 프로젝트가 가진 특징으로 인해 다음과 같은 한계를 가진다. 1) SCADA(Supervisory Control and Data Acquisition) 시스템을 통해 수집되는 고장 데이터의 일부는 환경의 영향으로 인한 오작동이나 단순한 센서고장으로 인해 생성되는 데이터를 포함하고 있으므로 불완전하고 신뢰할 수 없다. 따라서, FMEA의 세 가지 변수인 심각도(Severity), 발생빈도(Occurrence), 검출빈도(Detection)의 평가는 전문가 지식에 근거한다. 2) 전문가들의 주관적인 판단에 전적으로 의존할 경우 위험 요소들을 정밀하게 평가하기 어렵다. 3) 위험 요소들 사이의 상대적인 중요도는 고려되지 않아 위험우선순위가 명료하게 표현되지 않는다. 4) 서로 다른 고장모드에 대해 동일한 위험 우선순위 값을 가질 경우 상대적인 중요도를 판단하기 어렵다. 이러한 문제점을 극복하고 기존의 FMEA의 효과를 높이기 위해, Fuzzy-FMEA를 제안하고, 선박/해양 프로젝트의 동적 위치제어 시스템의 FMEA 문서에 적용하였다. 본 논문은 DP FMEA, DP FMEA 입증 시험서(DP FMEA Proving Trials)에 나타낸 전문가 지식을 퍼지 모델로 구현하여 FMEA 위험우선순위(RPN; Risk Priority Number)에 위험요소들의 상대적인 중요성을 포함시켰다. 제안한 방법은 해양 프로젝트의 동적 위치제어 시스템의 기계 및 전장 장비에 적용하여 기존의 FMEA와 비교하였다.

• 산업경영시스템학회지
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• 제31권4호
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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.

• 한국안전학회지
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• 제38권1호
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• pp.9-17
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• 2023

In this study, we aimed to identify the important hazard factors and determine their criticality in causing serious accidents in vehicle-mounted mobile elevated work platforms (MEWPs). Fuzzy failure modes and effects analysis (FMEA)was performed using accident data and a survey of experts. To determine the hazard factors, the accident data for the last 10 years were used and a questionnaire survey was designed. The questionnaire survey was sent to four experts in the field of occupational safety to determine the severity, occurrence, and detectability of serious accidents in MEWPs. Furthermore, objective RPN scores and risk priority were obtained using fuzzy FMEA. Finally, the criticality of hazard factors in descending order was found to be overloading, non-installation or defective installation of outriggers, breakage due to wire rope aging, and illegal remodeling of vehicle structures. The results were verified by comparing the occurrence data of serious disasters.

• 대한안전경영과학회지
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• 제19권4호
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• pp.43-52
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• 2017

The purposes of this study are to analyze risks of construction step BIM(Building Information Modeling) applied project and improve it. Recently, construction industry has emphasized an importance of BIM for efficient utilization of various information. In the whole life cycle of huge construction project, there are cases introducing BIM and projects applying BIM are gradually increased to the work of construction step. However, the process of communication is not established, so the contents of BIM process of construction step are just showing rough fields and concepts of working utilization, so it's restrictive to utilize BIM actively on constructions step. Through results of case study in this research, constructor risks of BIM business should be efficiently treated with Fuzzy-FMEA that is more precise than existing danger evaluation.

• 대한안전경영과학회지
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• 제16권4호
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• pp.229-236
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• 2014

Failure modes and effects analysis (FMEA) is a widely used engineering tool in the fields of the design of a product or a process to improve its quality or performance by prioritizing potential failure modes in terms of three risk factors-severity, occurrence, and detection. In a classical FMEA, the risk priority number is obtained by multiplying the three values in 10 score scales which are evaluated for the three risk factors. However, the drawbacks of the classical FMEA have been mentioned by many previous researchers. As a way to overcome these difficulties, this paper suggests the ELECTRE III that is a representative technique among outranking models. Furthermore, fuzzy linguistic variables are included to deal with ambiguous and imperfect evaluation process. In addition, when the importances for the three risk factors are obtained, the entropy method is applied. The numerical example which was previously studied by Kutlu and Ekmekio$\breve{g}$lu(2012), who suggested the fuzzy TOPSIS method along with fuzzy AHP, is also adopted so as to be compared with the results of their research. Finally, after comparing the results of this study with that of Kutlu and Ekmekio$\breve{g}$lu(2012), further possible researches are mentioned.

• 벤처창업연구
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• 제7권3호
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• pp.133-141
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• 2012

글로벌 경쟁 상황에 처한 현대의 모든 기업들은 고객의 니즈를 충족시키고, 이를 통한 경쟁력을 강화하기 위한 방안으로서 서비스를 이해하기 시작하면서 서비스에 대한 관심이 날로 증가하고 있다. 기업들이 제공하는 제품이나 서비스의 가치는 주로 고객과 서비스 제공자 간의 관계에서 형성되는 만족도의 정도로 정의되는 서비스 신뢰도에 의해 크게 좌우된다. 본 연구에서는, 유형의 제품이나 시스템의 실패 유형과 영향을 평가하는데 널리 사용되는 FMEA를 서비스의 신뢰도 평가에 적용하였다. 이를 위해, 서비스의 설계와 서비스 기능과 실패 간의 관계를 용이하게 표현할 수 있는 사건중심 프로세스 모델을 이용하였다. 본 연구의 목적은 서비스 프로세스 관점에서의 서비스 신뢰도를 평가하는 방법을 제시하는 것으로서, 이를 위해 fuzzy FMEA와 grey 이론을 이용하였다. 제안된 방법은 자동차정비 프로세스 사례에 적용하여 평가하였다.

• 한국수소및신에너지학회논문집
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• 제29권4호
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• pp.307-316
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• 2018

In this study, the failure mode and effect analysis (FMEA) of hydrogen production process by using the Thermococcus onnurineus NA1 was conducted and advanced methodology to compensate the weakness of previous FMEA methodology was applied. To bring out more quantitative and precise FMEA result for bio-hydrogen production process, fuzzy logic and potential loss cost estimated from ASPEN Capital Cost Estimator (ACCE) was introduced. Consequently, risk for releasing the flammable gases via internal leakage of steam tube which to control the operating temperature of main reactor was caution status in FMEA result without applying the fuzzification and ACCE. Moreover, probability of the steam tube plugging caused by solid property like medium was still caution status. As to apply the fuzzy logic and potential loss cost estimated from ACCE, a couple of caution status was unexpectedly upgraded to high dangerous status since the potential loss cost of steam tube for main reactor and decrease in product gases are higher than expected.