ESTIMATING THE CONTINUOUS RISK OF ACCIDENTS OCCURRING IN THE MINING INDUSTRY IN SOUTH AFRICA

Andrew Francis van den Honert, Pieter-Jan Vlok

Abstract


This study contributes to the on-going efforts to improve occupational safety in the mining industry by creating a model capable of predicting the continuous risk of occupational accidents occurring. Contributing factors were identified and their sensitivity quantified. The approach included using an Artificial Neural Network (ANN) to identify patterns between the input attributes and to predict the continuous risk of accidents occurring. The predictive Artificial Neural Network (ANN) model used in this research was created, trained, and validated in the form of a case study with data from a platinum mine near Rustenburg in South Africa. This resulted in meaningful correlation between the predicted continuous risk and actual accidents.

Keywords


Safety; Mining; Artificial neural networks; Accidents; Mathematical Modelling

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DOI: https://doi.org/10.7166/26-3-1121

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Copyright (c) 2015 The South African Journal of Industrial Engineering


ISSN 2224-7890 (on-line) ; ISSN 1012-277X (print)


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