Simulator based performance metrics to estimate reliability of control room operators

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dc.contributor.author Iqbal, Mohd Umair
dc.contributor.author Srinivasan, Rajagopalan
dc.date.accessioned 2019-01-17T17:24:09Z
dc.date.available 2019-01-17T17:24:09Z
dc.date.issued 2018-11
dc.identifier.citation Iqbal, Mohd Umair and Srinivasan, Rajagopalan, “Simulator based performance metrics to estimate reliability of control room operators”, Journal of Loss Prevention in the Process Industries, DOI: 10.1016/j.jlp.2017.10.011, vol. 56, pp. 524-530, Nov. 2018. en_US
dc.identifier.uri https://www.researchgate.net/publication/320544390_Simulator_based_performance_metrics_to_estimate_reliability_of_control_room_operators
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/4226
dc.description.abstract Chemical processes rely on several layers of protection to prevent accidents. One of the most important layers of protection is human operators. Human errors are a key contributor in a majority of accidents today. Estimation of human failure probabilities is a challenge due to the numerous drivers of human error, and still heavily dependent on expert judgment. In this paper, we propose a strategy to estimate the reliability of control room operators by measuring their control performance on a process simulator. The performance of the operator is translated to two metrics - margin-of-failure and available-time to respond to process events - which can be calculated using process operations data that can be generated from training simulator based studies. These metrics offer a qualitative estimate of operators' reliability. We conducted a set of experiments involving 128 students of differing capabilities from two different institutions and tasked to control a simulated ethanol production plant. Our results demonstrate that differences in the performance of expert vs. novice student operators can be clearly distinguished using the metrics. en_US
dc.format.extent vol. 363, no. 6423, pp. 145-148
dc.language.iso en_US en_US
dc.publisher Journal of Loss Prevention in the Process Industries en_US
dc.title Simulator based performance metrics to estimate reliability of control room operators en_US
dc.type Article en_US
dc.relation.journal Journal of Loss Prevention in the Process Industries


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