Occupational safety modelling

Abstract

The traditional theory of occupational safety has played an important role in promoting the development of occupational safety. Its use effectively reduced the number of casualties and saved thousands of lives. However, it turned out that the "margin effect" has become more and more obvious. World statistics show that the number of accidents at the workplace has dropped to a certain level and can no longer be reduced to zero. This means that it is necessary to search for new methods in theory that would help reduce the number of accidents. A review of recent articles in this field shows us new trends in the development of safety and safety at work. The Chinese study looked at the benefits of the Job Safety Analysis (JSA) in the construction industry. Safety-Related Data (SRDs) are important factors for making Safety Decision-Making (SDM) in a company. A systematic approach to risk assessment in the field of occupational safety and health is linked to a new process for identifying risk factors together with weighing the influence of these risk factors. For the weight of the factors in adverse events, a multi-criteria model is used to analyze the analytical hierarchy. Using appropriate Big Data processing, we can achieve more efficient forecasting of crisis events that lead to accidents at work.