PSAM 16 Conference Paper Overview
Welcome to the PSAM 16 Conference paper and speaker overview page.
Lead Author: Seungwoo Lee Co-author(s): Yongjin Lee, k730lyj@kins.re.kr
Namchul Cho, namchul.cho@kins.re.kr
| INSIGHTS FOR HUMAN RELIABILITY ANALYSIS METHOD GAINED FROM ROOT CAUSES ANALYSIS OF HUMAN ERROR EVENTS OCCURRED IN KOREA |
|---|
| Human error is known as dominant contributors to the safety of complex systems such as nuclear power plants(NPPs). In analyzing human error, both prospective approach whose purpose is to estimate the probability of human error in quantitative manner and retrospective approach whose purpose is to identify the root causes of human error in qualitative manner are used. Regarding prospective approach, various methods have been suggested to assess human reliability in field of risk assessment of nuclear power plants. Most of these approaches visits the results from retrospective approach to develop their own models for estimating human error probability or to describe mechanisms for human error. Also, it is notable that the qualitative analysis is used as one of the key steps in most of the prospective approaches. In this manner, this study aims to give insights for current HRA methods by investigating the results of retrospective approach. When human error occurs in Korea, investigators from KINS(Korea Institute of Nuclear Safety) analyzes the human error using HuRAM+( Human related event root causes analysis method plus) which was originally developed to identify the inadequate human actions occurred in NPPs. In using HuRAM+, investigators need to gather all the information regarding the events such as date of event occurrence, design of NPPs, procedures et al. Based on the information gathered, investigators identify the types of human error ; (1) Error of Omission or Error of Commission, (2) Mistake or Slip/Lapse or Violation, (3) Active or Latent and identify the location and the plant operational mode when the human error occurred. Finally, investigators identify the detailed root causes of the human error using error classification scheme in HuRAM+. To briefly explain error classification scheme, HuRAM+ has 3 categories which are (1) Task/System, (2) Organization/Safety Culture, (3) Etc and these 3 categories have hierarchical classifications for each category. For example, Task/System has 7 sub-categories which are ‘Procedures’, ‘Workload’, ‘Training/Education’, ‘Human-System Interface’, ‘Communication’, ‘Worker(Team)’ and ‘Supervisor’ and each sub-category has root cause items. The results of investigating 139 human error events occurred from 1978 to 2020 in Korea using HuRAM+ is analyzed to give insights to the HRA method. Specifically, these insights are given in the aspects of technical elements of HRA method such as performance shaping factors(PSFs) and etc. Finally, it is expected that more sophisticated HRA method can be developed using the insights gained from the investigating the results of prospective approach. Keywords: human error events, prospective approach, retrospective approach, root causes, insights, human error analysis method. References 1. J, Park et al. (2019). Remaining and emerging issues pertaining to the human reliability analysis of domestic nuclear power plants. Nuclear Engineering and Technology 51, 1297-1306 2. KINS/HR-1393, A study on the strategy enhancing the application of HuRAM+, 2015, Korea Institute of Nuclear Safety. 3. R.Boring, TOP-DOWN AND BOTTOM-UP DEFINITIONS OF HUMAN FAILURE EVENTS IN HUMAN RELIABILITY ANALYSIS, Proceedings of the Human Factors and Ergonomics Society 58th Annual Meeting - 2014 |
Paper K7325 Preview
Author and Presentation Info
Presentation only, a full paper is not available.
Lead Author Name: Seungwoo Lee (k727lsw@kins.re.kr)
Bio: Bachelor degree: Nuclear Engineering at Hanyang university Master degree : Nuclear Engineering at Hanyang university - Probabilistic Safety Analysis Doctoral degree : Nuclear and Quantum Engineering at KAIST - Human Reliability Analysis, Human Factors Engineering Current job status : Joined Korea Institute of Nuclear Safety since 2013 Currently working as a principal researcher at department of severe accident and risk assessment Review PSA report submitted by utility etc.
Country: South Korea
Company: Korea Institute of Nuclear Safety
Job Title: Principal Researcher
Bio: Bachelor degree: Nuclear Engineering at Hanyang university Master degree : Nuclear Engineering at Hanyang university - Probabilistic Safety Analysis Doctoral degree : Nuclear and Quantum Engineering at KAIST - Human Reliability Analysis, Human Factors Engineering Current job status : Joined Korea Institute of Nuclear Safety since 2013 Currently working as a principal researcher at department of severe accident and risk assessment Review PSA report submitted by utility etc.
Country: South Korea
Company: Korea Institute of Nuclear Safety
Job Title: Principal Researcher