Abstract:
In the current global economy, companies tend to be more competitive by
endeavoring to keep the good reputation of their organization while maintaining
high productivity at the same time. In most cases, non-profit oriented or “invisible”
aspects such as health and safety are ignored and as a result, resources are not often
allocated for these functions in the budget. With the increasing costs associated
with industrial incidents and in an effort to maintain good reputation, several
organizations have begun to promote the development of health and safety
interventions program.
This thesis intends to provide an overview of a statistical technique to assess a
safety interventions program from a business perspective. In the first phase of
research, a set of twenty three critical safety interventions has been identified and
then five prominent safety interventions are selected from them by Pareto
Analysis. In the second phase, a mathematical model is developed by using
Multiple Regression Analysis for predicting incident rates. Analysis of Variance
test was conducted in order to determine factors and interaction relationships in the
model, while response surface methodology was used for optimization of incident
rates.
