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

Authors

  • Andrew Francis van den Honert Stellenbosch University
  • Pieter-Jan Vlok Stellenbosch University

DOI:

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

Keywords:

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

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.

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Author Biographies

Andrew Francis van den Honert, Stellenbosch University

Industrial Engineering department, Masters student

Pieter-Jan Vlok, Stellenbosch University

Industrial Engineering department, professor

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Published

2015-11-30

How to Cite

van den Honert, A. F., & Vlok, P.-J. (2015). ESTIMATING THE CONTINUOUS RISK OF ACCIDENTS OCCURRING IN THE MINING INDUSTRY IN SOUTH AFRICA. The South African Journal of Industrial Engineering, 26(3), 71–85. https://doi.org/10.7166/26-3-1121

Issue

Vol. 26 No. 3 (2015)

Section

General Articles

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