Title:

Solution for information and analytical support of staffing management in the Arctic zone of the Russian Federation

Authors Name:   

Andrey Grigorevich Oleynik, Vitaliy Viktorovich Bystrov, Darya Nikolaevna Khaliullina

Journal: Czech Polar Reports
Issue: 7
Volume: 2
Page Range: 195-205 
No. of Pages: 11
Year: 2017
DOI:

10.5817/CPR2017-2-19

Publishers: muniPress Masaryk University Brno
ISSN:    1805-0689 (Print), 1805-0697 (On-line)
Language: English
Subject:  
Abstract:

One of the main problems of Arctic zone development in the Russian Federation (AZRF) is a limited labor resources. Poly-model complex for analysis and simulation of the AZRF labor market is presented in the article. The complex allows you to forecast the formation of the labor demand of socio-economic systems in AZRF and to explore the possibilities of regional professional education systems in terms of meeting the forecasted needs. Technologies of system-dynamic and agent-based modeling are shared within the framework of the complex. The advantage of the presented software tool is the ability to operatively vary not only the quantitative characteristics of the modeled system, but also the structure of interaction between the components of the system. This is a useful opportunity to analyze the possible impact on the regional labor market of investment projects that are planned for implementation in the region. Developed tool was used to support the personnel policy management in the Murmansk region.

 

Keywords: Arctic zone, labor resources management, information and analytical support, simulation, poly-model complex
 

References:

Bonabeau, E. (2002): Agent-based modeling: methods and techniques for simulating human systems. Proc. National Academy of Sciences, 99 (3): 7280-7287.

Bystrov, V. V., Kodema V. A. (2006): Development of information system of automation of synthesis of dynamic models of complex systems. Informatsionnye tekhnologii v regional'nom razvitii, Vol.VI: 93-96. (In Russian).

Gorelova, G. V., Zakharova, E. N. and Ginis, L. A. (2005): Kognitivnyy analiz i modelirovanie ustoychivogo razvitiya sotsial'no-ekonomicheskikh system [Cognitive analysis and modeling of sustainable development of socio-economic systems]. Publishing house of Rostov University,  Rostov-on-don, Russia, 288 p. (In Russian).

Gorokhov, A. V., Shelekh, O. V. (2009): Synthesis of simulation models of macro-systems on the basis of ontological descriptions. Proceedings of the ISA RAS, 39: 195-201. (In Russian).

Gorokhov, A. V., Vlasova, K. I. and Ivanov, K. I. (2013): Synthesis of system-dynamic models of socio-economic systems based on ontological descriptions. Vestnik of Volga State University of Technology. Economy and management, 3: 17-23. (In Russian).

Karpov, YU. G. (2006): Imitatsionnoye modelirovaniye sistem. Vvedeniye v modelirovaniye s AnyLogic 5 [Simulation of systems. Introduction to modeling with AnyLogic 5]. BHV-Petersburg, St. Petersburg, Russia, 400 p. (In Russian).

Khaliullina, D. N. (2016): Problem-oriented program complex to support strategic planning of development of small innovative enterprises. SPIIRAS Proceedings, 1(44): 190-211. (In Russian).

Oleynik, A. G., Leksikov, A. N. (2008): The tools for interactive formation of simulation models of the activity in the regional system of professional education. Proceedings of the ISA RAS, 39: 267-276. (In Russian).

Putilov, V., Oleynik, A. and Gorokhov, A. (2003): The Conceptual Synthesis Methods of the Dynamics Models for Complex System. The International Industrial Simulation Conference "ISC’2003", Valencia, Spain, June 9-12: 136-140.

Putilov, V. V., Gorokhov, A. V. and Bystrov, V. V. (2008): The synthesis of simulation models of complex systems based on expert knowledge. Informatsionnye tekhnologii i vychislitel'nye sistemy, 2: 27-35. (In Russian).

Sterman, J. D. (2000): Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw, New York, USA, 982 p.



Web sources / Other sources


[1] Official site of AnyLogic (2017)

      available at: http://www.anylogic.ru. (Accessed 15 May 2017).

 

[2] Official site of System Dynamics Society (2017)

      available at:  http://www.systemdynamics.org. (Accessed 15 May 2017).

 

[3] Official site of System Dynamics Society (2017), “System Dynamics Review”, available at:  http://www.systemdynamics.org/publications/system-dynamics-review. (Accessed 15 May 2017).

 

[4] The order of the President of the Russian Federation, 8 February 2013, № PR-232, “The Strategy for the Development of the Arctic Zone of the Russian Federation and the National Security Strategy for the period up to 2020”.

[5] Radzicki, M. J., Taylor R. A. (2008): Origin of System Dynamics: Jay W. Forrester and the History of System Dynamics. In: Introduction to System Dynamics U.S. Department of Energy's available at: https://www.systemdynamics.org/DL-IntroSysDyn/start.htm (Accessed 15 May 2017).
 

Notes: ASSW