Abstract
A mathematical model is developed that estimates the human error rate while performing an assembly job under the influence of learning–forgetting and fatigue–recovery. Despite other Human Reliability Analysis (HRA) models that are not capable of anticipating how and when an error occurs, this model is able to dynamically measure the human error rate and reliability with time. An experimental analysis is performed to examine the effect of the model parameters on the error rate and the model behaviour is investigated through five research questions. Numerical examples are provided to illustrate the results.
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