Methodological provisions of building models of industrial enterprise development

In the age of information technology, characterized by a large amount of current data, the process of processing and structuring information has become particularly relevant. The basic approach for selecting information in the context of an information explosion should be the principle of sufficiency, i.e. information should be no more and no less, it should be enough to make a decision. After all, excessive information leads to informational noise and the risk of
making the wrong decision. The correct and accurate formulation of the problem is the first and necessary stage of any system research. An important methodological issue is the need to identify the following relationships: a tool for realizing the goal, when it is most effective, what is the cost of its implementation and profitability, and the last question is the reverse return from this tool.

The emerging problems are usually distinguished by the degree of their structuring: by clarity, by the awareness of their formulation, by the degree of their specification and specification, by the ratio of quantitative and qualitative factors. Considering this, there are three classes of problems: well-structured and quantitatively structured, poorly structured or mixed problems, unstructured or qualitative problems.

And the last methodological problem is how to determine the criteria and indicators for achieving the goal, whether it is necessary to have a standard approach to determining the fulfillment of the goal or to take into account possible changes during the period of the fulfillment of the goal and correlate them to real changes that have occurred. The article proposes a 9-stage management decision making algorithm. It is shown that for poorly formalized tasks an effective tool is the method of qualitative modeling of complex organizational structures.

1. Popov E.V., Sukharev O.S. Digital Economy: «Irrational Optimism» of Management and Financing. Ekonomika. Nalogi. Pravo = Economics, taxes & law. 2018. Vol. 2. No. 2. Pp. 6–17. (In Russ.). DOI: 10.26794/1999849X-2018-11-2-6-17

2. Kulinich A.A. Subjektno-orientirovannaja sistema konceptual’nogo modelirovanija «Kanva» [The subjectoriented system of conceptual modeling «Kanva»]. Proceedings of the Cognitive analysis and situations development management. Moscow, 2001. (In Russ.)

3. Drogobytskii I.N. Sistemnyi analiz v ekonomike [System analysis in economics]. Moscow: Finansy i statistika, 2007. 509 p. (In Russ.)

4. Hritonenko N., Yatsenko Y. Mathematical Modeling in Economics, Ecology and the Environmen. New York; Heidelberg; Dordrecht; London: Springer, 2013. 296 p. DOI: 10.1007/978-1-4614-9311-2

5. Advanced Dynamic Modeling of Economic and Social Systems / Ed. A. N. Proto, M. Squillante, J. Kacprzyk. In: Studies in Computational Intelligence, vol. 448. Berlin; Heidelberg: Springer-Verlag, 2013. 234 p. DOI: 10.1007/978-642-32903-6

6. Issledovanie operatsii. V 2-kh tomakh [Operations Research]. Moscow: Mir, 1981. 677 p. (In Russ.)

7. Trukhaev R.I., Gorshkov I.S. Faktornyi analiz v organizatsionnykh sistemakh [Factor analysis in organizational systems]. Moscow: Radio i svyaz’, 1985. 185 p. (In Russ.)

8. Orlov A.I. Ekspertnye otsenki [Expert evaluation]. Moscow: Ekzamen, 2002. 31 p. (In Russ.)

9. Loveridge D. Foresigt: The Art and Science of Anticipating the Future. New York: Routledge, 2009. 282 p.

10. Shennon R. Imitatsionnoe modelirovanie sistem – iskusstvo i nauka [Imitating modeling of systems – art and science]. Moscow: Mir, 1978. 302 p. (In Russ.)

11. Kalyanov G.N. Sovremennye CASE-tekhnologii [Modern CASE-technology]. Moscow: IPU, 1992. 115 p. (In Russ.)

12. Economic models: Methods, Theory and Applications / Ed. by Dipak Basu. Singapore. World Scientific Publishing Co Pte. Ltd., 2009. 248 p.

13. Avdeeva E.S., Sidorova E.Yu. Napravleniya strategicheskogo razvitiya razlichnykh ekonomicheskikh sistem. Sbornik nauchnykh statei [Directions of strategic development of various economic systems]. Krasnodar: Izdatel’skii Dom – Yug, 2016. 130 p. (In Russ.)

14. Litvak. B.G. Razrabotka upravlencheskogo resheniya [Development of management decisions]. Moscow: Delo, 2001. 392 p. (In Russ.)

15. Vestimaya E.O., Sidorova E.Yu. Osobennosti strategii razvitiya promyshlennogo predpriyatiya Sbornik nauchnykh statei prepodavatelei, aspirantov, soiskatelei i studentov s inostrannym uchastiem [Features of the industrial enterprise development strategy. Collection of scientific articles of teachers, graduate students, applicants and students with foreign participation]. Saratov: Izdatel’stvo «Nauchno-issledovatel’skii tsentr «Nauka-XXI», 2012. 131 p. (In Russ.)

16. Brinza V.V., Kostyukhin J.J., Sherstneva M.A., Raikov Y.N.Mmulti-factor model of the company as a tool of company’s value increasing. Russian Journal of Industrial Economics. 2013. No. 2. Pp. 63–67. (In Russ.). DOI: 10.17073/2072-1633-2013-2-63-67

17. Brinza V.V., Kostyukhin Y.Y., Suslova M.A., Perk O.N. From future to present: forecast modeling methodology applicationin value-based management. Russian Journal of Industrial Economics. 2014. No. 2. Pp. 63–73. (In Russ.). DOI: 10.17073/2072-1633-20142-63-73

18. Ryzhykova L.N. Functions of Corporate Press. Bulletin of South Ural State University. Series «Humanities and Social Sciences». 2006. No. 8(63). Pp. 39–44. (In Russ.)

19. Murzin D.A. Fenomen korporativnoi pressy [The phenomenon of corporate press]. Moscow: Izdatel’skii dom «Khroniker», 2005. 188 p. (In Russ.)

20. Chemyakin Yu.V. Korporativnye SMI. Sekrety effektivnosti [Corporate media. Secrets of efficiency]. Ekaterinburg: Diskurs Pi, 2006. 184 p. (In Russ.)

21. Dyuk V.A., Samoilenko A.P. Data Mining. St. Petersburg: Piter, 2001. 368p. (In Russ.)