The first step towards reducing
ergonomic risks in a production system is to devise methods to understand and
characterize the risk events. According to Drury, in recent years, Big Data Analytics (BDA) has developed computational methods to derive meaningful,actionable conclusions from huge data-sets also in the field of human factors/ergonomics
(HFE). Ergonomic metering in complex production facilities is necessary to
provide industrial enterprises higher levels of quantification and visibility
in their ergonomic risks.
Big Data Analytics (BDA) methods
can help companies make more informed business decisions by enabling data
scientists, predictive modelers and examining large data sets to uncover hidden patterns, unknown correlations. For this reason, an ergonomic risk monitoring
system is necessary. Internet of Things (IoT) can provide useful tools in order
to develop a more detailed analysis of ergonomic programs.