Kadyrov A.A., Kadyrova A.A. Automated Risk Management Systems

AUTOMATED RISK MANAGEMENT SYSTEMS

Amanulla A. Kadyrov

Doctor of Sciences (Engineering), Professor,

Director, Center for Strategic Innovations and Informatization

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Universitetskaya St, 2, office 214, 100095 Tashkent, Uzbekistan

Aziza A. Kadyrova

Candidate of Sciences (Engineering),

Deputy Director, Center for Strategic Innovations and Informatization

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Universitetskaya St, 2, office 214, 100095 Tashkent, Uzbekistan

Abstract. Creating an industrial safety management system for enterprises requires the development and application of a set of mechanisms that ensure the prevention of accidents and incidents. Risk management systems are one of the most effective mechanisms for industrial safety. However, very little attention has been paid to automation of risk management. This article is devoted to the formation of the conceptual framework for creating automated risk management systems for industrial enterprises with hazardous production facilities. The paper analyzes the structural and logical scheme of risk management. It is shown that one of the most “risk-bearing” components of hazardous production facilities are technical devices. At the same time, the maximum level of automation is possible for technical devices in relation to their maintenance, repair, and risk management tasks. Analysis of the tasks related to risk management shows their complexity and diversity. The solution of these problems is possible through the use of modern information technologies. At the same time, it is necessary to create a unified database of hazardous production facilities, a comprehensive database of regulatory, technical and legal information, automation of risk modeling and analysis of control processes, and decision-making and implementation of processes that minimize risks. At the same time, the maximum level of automation is possible for technical devices in relation to their maintenance, repair, and risk management tasks.

Key words: risk, management systems, risk management model, risk classification, technical devices.

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