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MANAGEMENT OFTECHNOGENIC SAFETYBASED ON ARISK-ORIENTEDAPPROACH : научноеиздание Moskvichev V.V.Postnikova U.S.Taseiko O.V.2022 год

MANAGEMENT OF TECHNOGENIC SAFETY BASED ON A RISK-ORIENTED APPROACH : научное издание
статья из журнала

Дополнительные ссылки: eLibrary
База данных: Каталог библиотеки СФУ
Библиографическое описание: MANAGEMENT OF TECHNOGENIC SAFETY BASED ON A RISK-ORIENTED APPROACH : научное издание / V. V. Moskvichev, U. S. Postnikova, O. V. Taseiko. - Текст : непосредственный // Control Sciences. - 2022. - № 3. - P. 13-23. - ISSN 2782-2427, DOI 10.25728/cs.2022.3.2.
Аннотация: This paper proposes a managerial decision algorithm based on the developed risk assessment methodology with multidimensional statistical analysis. The methodology allows calculating an acceptable risk level, which can be used in regulatory documents. The decision algorithm is integrated into the information system of territorial risk and safety management. The industrial agglomerations of Siberia are chosen as the object of study, and their main types of technogenic hazards are analyzed. The complex risk is assessed using statistical data on man-made dangerous events, emergencies, material damage, and fatal outcomes from the official database (the Emercom of Russia). According to risk factor analysis, the main technogenic load in territorial units is due to fire and explosive events. The inverse problem is solved, showing the need to reduce the main risk factors for achieving an acceptable level. Minimizing the complex technogenic territorial risk is a management problem with two criteria: the minimum number of fatal outcomes and the minimum amount of damage. Within the complex risk assessment approach, the problem is solved by proposing preventive measures to improve territorial safety.
Год издания: 2022
Авторы: Moskvichev V.V. , Postnikova U.S. , Taseiko O.V.
Издательство: Институт проблем управления им. В.А. Трапезникова РАН, Moscow
Источник: Control Sciences
Выпуск: № 3
Номера страниц: 13-23
Держатель оригинала документа: Federal Research Center for Information and Computational Technologies, Krasnoyarsk Branch, Reshetnev Siberian State University of Science and Technology
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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