Evaluation of safety interventions in an oil and gas company

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.