• 한국신뢰성학회지:신뢰성응용연구
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• 제16권1호
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• pp.71-77
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• 2016

Purpose: Root cause analysis (RCA) refers to any systematic process that identifies the causes that contribute to a focus event. The immediate cause of a focus event is often a symptom of underlying causes and may not truly identify the root causes that should be identified and addressed. Currently many RCA tools are available. Different investigators use different RCA tools on different issues. No standardized or commonly agreed way to analyse root causes exists. The purpose of this study is to propose the methodology of RCA process commonly useable for various issues. Methods: The methodology of RCA process is produced based on the hybrid RCA tools. The effectiveness assessment matrix of actions through the root cause candidates is presented. Results: No single RCA technique proposed has so far covered all necessary aspects. A hybrid approach which combines the best features of various techniques is proposed. The effectiveness assessment matrix helps us to identify the root cause to correct or eliminate system vulnerabilities effectively. Conclusion: This hybrid approach and effectiveness assessment matrix can provide guidance of RCA process across many industries and situations.

• 한국의료질향상학회지
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• 제23권1호
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• pp.25-38
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• 2017

Root cause analysis (RCA) is systematic process for identifying contributing factors and root causes. It detects system-level vulnerabilities and prevents them from occurring in the future. In many countries, RCA guidelines have been developed and used for these purposes, and various practical tools are suggested according to stages of RCA implementation. In Korea, adverse events occur in 7.2-8.3 percent of inpatients according to studies conducted in hospitals. However, frontline staffs are suffering from lack of knowledge about RCA implementation. This study introduces RCA guidelines that may be used in hospitals to improve the quality of medical care and patient safety.

• 한국의료질향상학회지
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• 제23권1호
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• pp.11-23
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• 2017

Root Cause Analysis (RCA) has been widely used as a structured approach to investigate patient safety incidents. RCA helps identify what, how, and why something happened, therefore preventing recurrence of incidents. Since many quality tools can be used during RCA, various formats of RCA exist. If RCAs are performed incorrectly or incompletely, they are likely to produce unusable results. To address this issue, RCA software has been developed. The use of RCA software in investigating patient safety incidents may offer several advantages, such as potential reduction in learning time, shortening of the analytic process, facilitation of collection, analysis, and presentation of data and production of meaningful RCA reports. We introduced six healthcare RCA software and compared characteristics. Results from this study will enable the RCA team to choose proper RCA software.

• 한국의료질향상학회지
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• 제24권1호
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• pp.9-22
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• 2018

Purpose: The purpose of this study is to develop the Korean root cause analysis (RCA) software that can be used to systematically investigate underlying causes for preventing or reducing recurrence of patient safety incidents. Methods: We reviewed the existing guidelines and literatures on the RCA in order to figure out the RCA process. Also we examined the existing RCA softwares for investigating patient safety incidents to design the contents and interface of the RCA software. Based on the results of reviewing literatures and softwares, we developed a draft version of the Korean RCA software that can be easily used in Korean hospital settings by RCA teams. Results: The Korean RCA software consisted of several modules, which are modules for identifying patient safety incidents, organizing RCA team, collecting and analysing data, determining contributory factors and root causes, developing the action plans, and guiding evaluation. Conclusion: The Korean RCA software included optimized RCA process and structured logic for cause analysis. Thus even beginners in RCA are expected to easily use this software for investigating patient safety incidents. As software has been developed with the public financial support, it will be distributed free of charge. We hope that it will contribute to facilitating patient safety improvement activities in Korea.

• 한국안전학회지
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• 제36권5호
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• pp.43-51
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• 2021

Incident investigation is one of the most important processes among various other safety management methods to prevent industrial accidents. Finding the root causes of accidents, eliminating hazards, and improving safety are the most important purposes of investigating accidents. During the investigation process, root cause analysis (RCA) techniques are used to effectively identify RCA. Over the past few decades, over 30 RCA methods have been developed. These techniques are being widely used in some industries, such as the nuclear and aircraft industries; however, most of the RCA techniques require professional knowledge and special training, making it difficult for safety managers in their respective fields to understand and apply them. Therefore, managers of general industrial sites are rarely present at the scene of actual accident investigations, and they cannot contribute much to the purpose and effectiveness of these investigations. In this study, to address these issues, we developed an RCA technique to facilitate root cause investigation of accidents in real-world industrial sites. To develop new techniques, Systematic Cause Analysis Technique (SCAT), one of the RCA techniques, was used to investigate incidents in the enterprise over three years. We also utilized feature analysis and other papers from existing RCA techniques. To verify its effectiveness, the technique proposed was also applied to the accident case. The technique developed can easily identify and analyze the root cause of an accident and help industrial managers. It can also identify the root cause category where accidents are concentrated and use this data to establish guidelines for preventing future accidents and, thus, focus on prioritizing improvement initiatives.

• 한국가스학회지
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• 제18권4호
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• pp.86-94
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• 2014

화학실험실 사고의 근본원인분석 Map을 개발하기 위하여 석유화학 사고 근본원인분석 Map을 참고하여 3단계 사고 요인 트리(Tree)로 구성된 Map을 작성하였다. 원인 인자 도표(Cause Factor Charting) 방식을 적용하여 실험실 사건 사고 211건을 1~5단계까지 사고 원인을 조사하고, 그 사고의 원인을 EXCEL 프로그램에 입력하였다. 그 후, 그 사고요인들을 유형과 각 단계별로 분류하여, 근본원인분석 Map 초안(draft)을 작성하였다. 또한, 연구실 사건 사고 211건의 근본원인이 근본원인분석 Map초안에 적절한지 재확인하였다. 향후 실험실에서 발생할 수 있는 사고의 원인들을 보완함으로써, 화학실험실에 관한 RCA Map이 개발되었다. 본 연구에서 제시한 근본원인분석 Map을 기반으로 발생빈도를 고려하여 사고 원인을 1~5단계로 나누어 분석한 결과, 3단계 원인은 관리시스템 35.%, 모니터링 12.2%, Human Factor Eng. 15.1%, 교육훈련 12.1% 등의 순으로 나타났다.

• 디지털융복합연구
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• 제12권8호
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• pp.77-84
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• 2014

TRIZ는 원래 러시아인인 알트슐러에 의해 개발되어 기술 분야의 문제 해결에 활용 되어 왔지만, 최근에는 Darrell Mann에 의해 비 기술 영역에도 적용이 되기 시작하였다. 국내에는 1995년 LG전자에서 최초로 도입하여 현재는 삼성, 포스코 등 많은 기업들이 문제 해결도구로 사용하고 있다. TRIZ 문제 해결 방법은 문제를 정의하고, RCA(Root Cause Analysis)를 통해 근본원인을 찾아내어 기술적 모순과 물리적 모순을 정의 하고 있다. TRIZ는 모순을 극복하는 것이 문제를 해결하는 것이다. 본 연구는 문제 해결 방법인 TRIZ 원리를 이용하여 비기술 분야인 물류 영역의 개선에 적용하고자 하였다. 실제 "L" 기업의 물류 재작업이라는 물류 운영 개선을 하기 위해 TRIZ 방법론 중 RCA(Root Cause Analysis)분석, 모순 정의, 40가지 발명원리를 사용하여 문제 해결을 위한 아이디어 도출 및 적용 하였다. 본 연구는 TRIZ를 비기술 분야에 활용하고자 하는 향후 연구자들에게 도움이 되고자 하였다.

• 한국위험물학회지
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• 제6권2호
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• pp.47-54
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• 2018

Mixed acid is very reactive and highly corrosive. it has been causing many accidents in a electronic industry, a steel industry, and a chemical industry. Therefore, it is required that the high safety level for the acid storage facilities. In this study, we investigated the accident causes for resent leak accidents with Root Cause Analysis (RCA). The root causes analysed by RCA were categorized as nine divisions by the their characteristics. Furthermore, each nine divisions causes was applied to the PDCA model which are using at OHSAS 18001. It is suggested that the nine division with the root causes can be the essential items for the development of the safety management manual. It is helpful to the safety improvement of the acid storage facility.

• 보건의료산업학회지
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• 제13권3호
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• pp.13-26
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• 2019

Objectives: To investigate whether medical institutions can prevent accidents by analyzing the root cause of a medical accident and identifying the tendencies. Methods: A total of 345 medical cases were used for the RCA(Root Cause Analysis). The root causes were classified using the SHELL model. The suitability of the model was confirmed by SPSS's MDPREF and Euclidean distance. An SPSS20.0 hierarchical regression analysis was used as an influencing factor on the degree of injury resulting from medical accidents. Results: The SHELL model was suitable for classification. The rates of accident causes were LS49%, L34%, LL10.2%, LE3.7%, LH2.3%. The order in which the degree of a patient's injury was affected were: Risk Threshold (${\beta}=.180$), Time (${\beta}=.175$), Surgical stage (${\beta}=-.166$), Do not use procedure (${\beta}=.147$). Conclusions: Health care institutions should remove priorities through system improvement and training. For patients' safety, the five factors of the SHELL model should be managed in harmony.

• Safety and Health at Work
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• 제12권4호
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• pp.496-504
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• 2021

Background: With the increasing demand for industrial robots and the "noncontact" trend, it is an appropriate point in time to examine whether risk assessments conducted for robot operations are performed effectively to identify and eliminate the risks of injury or harm to operators. This study discusses why robot accidents resulting in harm to operators occur repetitively despite implementing control measures and proposes corrective actions for risk assessments. Methods: This study collected 369 operator-injured robot accidents in Korea over the last decade and reconstructed them into the mechanism of injury, work being undertaken, and bodily location of the injury. Then, through the techniques of Systematic Cause Analysis Technique (SCAT) and Root Cause Analysis (RCA), this study analyzed the root and direct causes of robot accidents that had occurred. Causes identified included physical hazards and complex combinations of hazards, such as psychological, organizational, and systematic errors. The requirements of risk assessments regarding robot operations were examined, and three case studies of robot-involved tasks were investigated. The three assessments presented were: camera module processing, electrical discharge machining, and a panel-flipping robot installation. Results: After conducting RCA and comparing the three assessments, it was found that two-thirds of injury-occurring from robot accidents, causative factors included psychological and personal traits of robot operators. However, there were no evaluations of the identifications of personal aspects in the three assessment cases. Conclusion: Therefore, it was concluded that personal factors of operators, which had been overlooked in risk assessments so far, need to be included in future risk assessments on robot operations.