Análisis bayesiano de factores de riesgo de accidente en trabajos de movimientos de tierras

Abstract

This paper analyses the characteristics of earthmoving operations involving a workplace accident. Bayesian networks were used to identify the factors that best predicted potential risk situations. Inference studies were then conducted to analyse the interplay between different risk factors. We demonstrate the potential of Bayesian networks to describe workplace contexts and predict risk situations from a safety and production planning perspective.