The Development of a Risk Management System in the Field of Industrial Safety in the Republic of Kazakhstan.
- Author:
Sergey S KUDRYAVTSEV
1
;
Pavel V YEMELIN
;
Natalya K YEMELINA
Author Information
- Publication Type:Original Article
- Keywords: industrial safety; industrial trauma; professional sickness rate; risk assessment; risk management
- MeSH: Accident Prevention; Emergencies; Kazakhstan*; Occupational Diseases; Risk Assessment; Risk Management*
- From:Safety and Health at Work 2018;9(1):30-41
- CountryRepublic of Korea
- Language:English
- Abstract: BACKGROUND: The purpose of the work is to develop a system that allows processing of information for analysis and industrial risk management, to monitor the level of industrial safety and to perform necessary measures aimed at the prevention of accidents, casualties, and development of professional diseases for effective management of industrial safety at hazardous industrial sites. METHODS: Risk assessment of accidents and incidents is based on expert evaluations. Based on the lists of criteria parameters and their possible values, provided by the experts, a unified information and analytical database is compiled, which is included in the final interrogation questionnaires. Risk assessment of industrial injuries and occupational diseases is based on statistical methods. RESULTS: The result of the research is the creation of Guidelines for risk management on hazardous industrial sites of the Republic of Kazakhstan. The Guidelines determine the directions and methods of complex assessment of the state of industrial safety and labor protection and they could be applied as methodological basis at the development of preventive measures for emergencies, casualties, and incidents at hazardous industrial sites. CONCLUSION: Implementation of the information-analytical system of risk level assessment allows to analyze the state of risk of a possible accident at industrial sites, make valid management decisions aimed at the prevention of emergencies, and monitor the effectiveness of accident prevention measures.
