Mudar Kivan1

1 Bauman Moscow State Technical University (National Research-Tel University) (Moscow, Russia)
1 moudarkiwan@gmail.com

Increasing complexity in high-tech systems leads to the emergence of new types of failures and requirements for ensuring their safety. The lack of skills in the staff is one of the most important reasons for the figures and the problems faced by these systems.

Purpose – improve the efficiency of recruitment management in the socio-cyberphysical system in order to control the actual number of employees and their skills to reduce production risks.

The method of comprehensive safety assessment is used in the work of a construction company, which served as an example of a socio-cyberphysical system. As a result, it was established that the company is in a situation of medium risk. Based on the analysis of the obtained data, recommendations were proposed to restore the company to a good level (low risk) by monitoring the actual number of employees in the company.

Obtaining optimal parameters of the company's policy on maintaining the target personnel reserve. As a result, an acute shortage of staff or the necessary skills of employees is avoided, which negatively affects the system.

Kivan M. Risk Management in the Socio-Cyberphysical System based on monitoring the actual number of employees. Dynamics of complex systems. 2023. V. 17. № 4. P. 75−82. DOI: 10.18127/j19997493-202304-08 (in Russian)

1. Smirnov A.V., Levashova T.V. Modeli podderzhki prinyatiya reshenij v sociokiberfizicheskih sistemah. Informacionno-upravlyayushchie sistemy. 2019. № 3 (100). S. 55–70 (in Russian).
2. El-Kady A.H. i dr. Analysis of Safety and Security Challenges and Opportunities Related to Cyber-physical Systems. Process Saf. Environ. Prot. 2023.
3. Kivan M., Berezkin D.V., Raad M., Rashid B. Analiz osnovnyh podhodov k modelirovaniyu avarijnyh situacij dlya upravleniya riskami v sociotekhnicheskih sistemah. Dinamika slozhnyh sistem. 2021. T. 15. № 1. S. 22−37 (in Russian).
4. Kivan M., Berezkin D.V., Hamed A. Gibridnye metody i podhody k modelirovaniyu avarijnyh situacij dlya upravleniya riskami v sociotekhnicheskih sistemah. Dinamika slozhnyh sistem. 2021. T. 15. № 2. S. 14−27 (in Russian).
5. Kivan M., Berezkin D.V., Smirnova E.V. Gibridnaya metodika podderzhki prinyatiya reshenij dlya upravleniya riskami v slozhnyh sociotekhnicheskih sistemah. Vestnik MGTU im. N.E. Baumana. Ser. Priborostroenie, 2023, № 2 (143), s. 90–110 (in Russian).
6. Morecroft J.D.W. Management attitudes, learning and scale in successful diversification: a dynamic and behavioural resource system view. System Dynamics: Springer, 2018. С. 69–106.
7. Winch G. Dynamic visioning for dynamic environments. J. Oper. Res. Soc. 1999. Т. 50. № 4. С. 354–361.
8. Coyle J. M., Exelby D., Holt Js. System dynamics in defence analysis: some case studies. J. Oper. Res. Soc. 1999. Т. 50. № 4. С. 372–382.
9. Warren K. The dynamics of rivalry. Bus. Strateg. Rev. 1999. Т. 10. № 4. С. 41–54.
10. Hafeez K. et al. Systems design of a two-echelon steel industry supply chain. Int. J. Prod. Econ. 1996. Т. 45. № 1–3. С. 121–130.
11. Mason-Jones R., Towill D.R. Time compression in the supply chain: information management is the vital ingredient. Logist. Inf. Manag. 1998.
12. Sterman J. Business dynamics.: McGraw-Hill, Inc., 2000.
13. Joakim E.P. et al. Using system dynamics to model social vulnerability and resilience to coastal hazards. Int. J. Emerg. Manag. 2016. Т. 12. № 4. С. 366–391.