Grey Relational Research for Key Factors of Hazard Management in Iron and Steel Enterprises

Abstract

Effective hazard management is essential to the prevention of accidents. Presently, some iron and steel enterprises have failed to make full use of hazard data and its hazard management is short of pertinence and maneuverability. This paper combined with standardized hazard data from database and subdivided hazard types, then established classification index system of hazard factors. Taking the hazard data of bar or wire rolling plants for instance, this paper used Statistics Analysis System software to preprocess initial data and applied Grey Relational Analysis model to calculate the grey relational degree of hazard factors in a period and each operation area. Through the analysis and comparison of the correlation results from time dimension and operation area dimension, the generated corresponding graphics can obtain the key factors of hazard and its correlation degree in different operation area or different period of time. The results can help enterprises make the focus of the hazard management explicitly and provide some guidance for enterprises to conduct the next step of the hazard control, thus doing favors for the improvement of hazard management abilities.