Establishing a modified CREAM approach for reliability evaluation

Abstract

The human factors area is one of the core field of industrial safety. It is deeply recognized that human factors are the main cause of accidents and breakdowns in various industries. Physiological mental states of human operators, like fatigue or vigilance, are crucial for the evaluation of human operators reliability. However, the shortages of measurements of physiological mental states limit their application. So human reliability analysis (HRA) is developed and many techniques have been developed. Among these techniques, cognitive reliability and error analysis method (CREAM) is often applied and discussed. Due to the application limits of common performance conditions (CPCs) in original CREAM approach, it is advised to generate a new list of CPCs for the application domain if CREAM approach is applied to other domains. In this contribution, a new approach defining a situated and dynamical human reliability measure is established. The approach is based on the well-known CREAM approach, which is modified with respect to the use in dynamical context. The new list of CPCs, their levels and corresponding effects on human reliability are determined. A new index, human performance reliability score (HPRS), is proposed for the assessment of human operator reliability. Finally, the applicability and correctness of the newly established approach is verified by data analysis.