Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
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Development of a Quantitative Resilience Model for Severe Accident Response Organizations of Nuclear Power Plants: Application of AHP Method

원자력발전소 중대사고 대응 조직에 대한 레질리언스 정량적 모델 개발: AHP 방법 적용

  • Park, Jooyoung (Department of Nuclear Engineering, Chosun University) ;
  • Kim, Ji-tae (Department of Instrument, Control & Electrical Engineering, Korea Institute of Nuclear Safety) ;
  • Lee, Sungheon (Department of Nuclear Engineering, Chosun University) ;
  • Kim, Jonghyun (Department of Nuclear Engineering, Chosun University)
  • 박주영 (조선대학교 원자력공학과) ;
  • 김지태 (한국원자력안전기술원) ;
  • 이승헌 (조선대학교 원자력공학과) ;
  • 김종현 (조선대학교 원자력공학과)
  • Received : 2019.12.23
  • Accepted : 2020.01.03
  • Published : 2020.02.29
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Abstract

Resilience is defined as the intrinsic ability of a system to adjust its functioning prior to, during, or following changes and disturbances, so that it can sustain required operations or functions with the related systems under both expected and unexpected conditions. Resilience engineering is a relatively new paradigm for safety management that focuses on how to cope with complexity under pressure or disturbance to achieve successful functioning. This study aims to develop a quantitative resilience model for severe accident response organizations of nuclear power plants using the Analytic Hierarchy Process (AHP) method. First, we investigated severe accident response organizations based on a radiation emergency plan in the Korean case and developed a qualitative resilience model for the organizations with resilience-influencing factors, which have been identified in the author's previous studies. Then, a quantitative model for entire severe accident response organizations was developed by using the Analytic Hierarchy Process (AHP) method with a tool for System Dynamics. For applying the AHP method, several experts who are working on implementing, regulating or researching the severe accident response participated in collecting their expertise on the relative importance between all the possible relations in the model. Finally, a sensitivity analysis was carried out to discuss which factors have the most influenceable on resilience.

Keywords

References

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