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System dynamics modeling of human errors at mining operations Garcia Vasquez, Javier

Abstract

There have been many studies about the causes of incidents in different industries, and the mining industry is no exception. From all of these studies, companies and researchers have concluded that the principal reason for incidents in a mining operation is due to human errors. The aim of this research is to use system dynamics to devise a model of human errors leading to incidents. The model includes the modification of the rate of worker errors through feedback (experience and training) and the modification of the learning or experience curve when training programs are implemented. The combination of latent and worker errors leading to incidents is also modeled. Since the errors, combinations of errors and changes due to training each occur at different frequencies, the model predicts some interesting interactions.

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