A Bayesian networks approach to build human-machine-ergonomic risk assessment model for construction workers

Abstract

Effective safety management should pay much attention to harmony of human-machine ergonomic system. Bayesian Networks is a valuable tool to provide a robust probabilistic method of reasoning with uncertainty and is more suitable to represent complex dependencies among components and to include uncertainty in modeling. This paper build a BN risk model in order to analyze the extent to identify potential risk factors of human-machine-Ergonomic system, which can give reference to improve efficiency of safety management.