Analysis and Classification of Occupational Data: a Practical Comparison

Abstract

Human performance is the centre of any safety management system. Errors are shaped and provoked by the upstream work place and organizational factors, which are the major root causes. A careful investigation and classification of data related to the occupational accidents provides opportunities to review and improve safety management systems which help to reduce and eliminate the risk from the resources. The aim of this paper is to perform a comparison between two risk assessment tools in terms of safety data considering human related elements which are: Human Factor and Classification System HFACS that is perhaps the most widely used human factors accident analysis framework and the risk assessment part (Root cause analysis) of World Class Manufacturing WCM that is used highly in manufacturing as the relevant management system and the practices help to increase their efficiency. The objective of this study is to improve the investigation and classification of data related to the work accidents which, allows to analyze industrial data collected for preventive purposes in occupational safety.