Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: All-Russian Scientific-Technical Conference on Digital Technologies in Forest Sector, DTF 2021

Год издания: 2021

Идентификатор DOI: 10.1088/1755-1315/806/1/012022

Аннотация: A review of scientific papers has shown that digital twins are very common for modeling the states of physical objects. It is relevant to consider the creation of a digital twin of an enterprise to obtain various assessments in management, taking into account the human factor. In the research, the impact of the human factor is assessed by the digital twin and staff competencies. The system of goals of staff competencies stands for: cognitive, affective, psychomotor. An enterprise model is created from the description of the set of events taking place on it. Each event is mapped to an element of staff competencies target system. The resulting set of staff competencies is estimated by a universal (integral) indicator. The dynamics of the universal indicator characterizes two modes of operation of the enterprise. The first operating mode is normal. The second mode of operation is based on the implementation of staff competencies. Taking into account the competencies of personnel by Bloom's taxonomy allows you to determine their interconnection: cognitive, affective, psychomotor. It correlation depends on the work performed by the employee and the influence of the external environment. It depends on the efforts of the employee as a learner. © Published under licence by IOP Publishing Ltd.

Журнал: IOP Conference Series: Earth and Environmental Science

Выпуск журнала: Vol. 806, Is. 1

Номера страниц: 12022

ISSN журнала: 17551307

Издатель: IOP Publishing Ltd

• Masaev S.N. (Siberian Federal University, 79 Svobodnyj Avenue, Krasnoyarsk, 660041, Russian Federation, Department of System Analysis and Operations Research, Reshetnev Siberian State University of Science and Technolog, Office L-409, 410, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation, Control Systems Llc, 86 Pavlova Street, Krasnoyarsk, 660122, Russian Federation)
• Minkin A.N. (Siberian Federal University, 79 Svobodnyj Avenue, Krasnoyarsk, 660041, Russian Federation, Fsbei He Siberian Fire and Rescue Academy Emercom of Russia, 1 Severnaya Street, Zheleznogorsk, 662972, Russian Federation)
• Troyak E.Yu. (Fsbei He Siberian Fire and Rescue Academy Emercom of Russia, 1 Severnaya Street, Zheleznogorsk, 662972, Russian Federation)
• Khrulkevich A.L. (Siberian Federal University, 79 Svobodnyj Avenue, Krasnoyarsk, 660041, Russian Federation, The Main Directorate of Emercom of Russia for Krasnoyarsk Territory, 68 Mira Avenue, Krasnoyarsk, 660122, Russian Federation)

• Scopus
• Ядро РИНЦ (eLIBRARY.RU)