Today’s modern society offers many new opportunities, but also many risks. Even modernization of companies cannot completely eliminate these dangers. In the smart industry, despite significant technological progress, it is necessary to work with various raw materials, including hazardous substances. It is these raw materials that will continue to pose risks in the future for industrial accidents, which cannot be ruled out. The possible release of hazardous substances can potentially have a negative impact on the environment and safety of the population. In order to deal with certain emergencies, it is necessary to allocate a large amount of funds and resources to them. The paper focuses on risk prevention in industry and the use of modern and new approaches. Specifically, it focuses on the implementation of the prevention of leakage of hazardous substances in the gaseous state from industrial facilities. The aim of the paper is to present a new approach to the prevention of leakage of hazardous substances, which provides more realistic calculations for modeling leaks and thus helps to reduce the cost of prevention. However, security in crisis management is not diminished. ALOHA CAMEO software was used for leak modeling, which the authors commonly use in practical applications and modeling in industrial enterprises in the performance of duties in the field of civil protection and crisis management. ALOHA software is used for such modeling, serving as a support tool for modeling for all crisis managers in Industry 4.0. This paper deals with the modeling of dispersion of hazardous substances with specific properties escaping from technological equipment located inside a building. This concerns the inability of the current dispersion model software to prevent the spread of the next leak inside the building containing the substance. A solution is needed to fix this problem. This issue is well illustrated by a specific example at the end of this article. The mentioned improvement of tools for simulation of industrial accidents influences the possibilities of development also in Industry 4.0. It enables more effective preparation for the management of possible accidents with regard to the appropriate spending of funds for prevention and subsequent response.
The municipal police agencies increase the safety of a municipality’s citizens and thus increase their quality of life. When performing interventions, municipal police officers may endanger their safety and health. This paper deals with the analysis of the riskiness of municipal police officers working in the Slovak Republic and the Czech Republic from 2004 to 2019 and the assessment of their occupational safety. The risk analysis was carried out on the basis of a risk matrix and calculations of the probability of attack and injury to municipal police officers. Using the Pearson correlation coefficient, the dependence between the selected variables was investigated. The reliability of this dependence was examined by the determination coefficient. The main result of the paper is the determination of the riskiness category of municipal police officer work based on the assessment of the occupational health protection of officers through statistical indicators of their activities and risk matrix. The results will serve as part of the explanatory memorandum for the proposal of legislative changes in order to increase the occupational health protection of municipal police officers.
Projects are a tool that enables enterprises to implement innovation and development activities and achieve the goals in the set time, costs and required quality but they also bring risks that need to be adequately identified, analyzed and assessed. Important tools that can be used in project management in the process of risk identification are expert estimates. However, little attention is paid to determining the accuracy of expert estimates. To verify the accuracy of expert estimates, an analysis of all completed projects for a certain period of enterprise that implemented them was performed. The purpose of the study was to determine the accuracy of expert estimates in the enterprise implementing projects. This was ascertained by analyzing all available completed projects and by Barnard’s test at the significance level of α = 0.05. The Phi coefficient of association was used to determine its extent. In the paper, we pointed out how inappropriate expert estimates affect the completion of the project within the specified period.
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