Comparative Analysis of Human Reliability Models

Abstract

The purpose of the study was to describe, analyze and compare available models and methods for making quantitative predictions of human performance in man-machine systems. The 22 methods reviewed were divided into those relating to operability and maintainability; operability models further subdivide into analytic (non-simulation) and simulation models. Each model was analyzed in terms of goals, assumptions, scope, parameters, data requirements, procedures and validation/application studies. The report provides requirements for development of input data banks and data presentation formats. The most recent studies and the state of the art of human reliability prediction are reviewed. Recommendations for further research are made, centering around a survey of user needs for predictive data.

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