Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents

Y.H.J. Chang and A. Mosleh

Reliability Engineering and System Safety, 2007, vol. 92, issue 8, 1041-1060

Abstract: This is the third in a series of five papers describing the IDAC (Information, Decision, and Action in Crew context) model for human reliability analysis. An example application of this modeling technique is also discussed in this series. The model is developed to probabilistically predict the responses of the nuclear power plant control room operating crew in accident conditions. The operator response spectrum includes cognitive, emotional, and physical activities during the course of an accident. This paper discusses the modeling components and their process rules. An operator's problem-solving process is divided into three types: information pre-processing (I), diagnosis and decision-making (D), and action execution (A). Explicit and context-dependent behavior rules for each type of operator are developed in the form of tables, and logical or mathematical relations. These regulate the process and activities of each of the three types of response. The behavior rules are developed for three generic types of operator: Decision Maker, Action Taker, and Consultant. This paper also provides a simple approach to calculating normalized probabilities of alternative behaviors given a context.

Keywords: Human reliability analysis; Performance influencing factors; Performance shaping factors; Cognitive; Dynamic probabilistic risk assessment (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (54)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:92:y:2007:i:8:p:1041-1060

DOI: 10.1016/j.ress.2006.05.013

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