UDC 536.71: 330.46: 332.14
DOI: 10.36871/2618-9976.2020.11.005
Authors
Shvetsova Angela A.
Assistant Professor of the Department of World Economy, Belgorod State National Research University,
Belgorod, Russia
Zviagintseva Anna V.
Professor of the Department of Computer Technology, docent, Doctor of Engineering Science, Donetsk
National University, Donetsk
Abstract
In practical applications, the tasks of strategic planning are complex and require many variant calculations when studying various scenarios, which are characterized by significant uncertainty in the forecast estimates. In this regard, the use of a complex of various means of information and analytical support for the activities of analysts and experts is relevant. Within the framework of this question, an information and analytical decision support system is proposed, focused on automating computational procedures in strategic planning. The system is organized on the basis of the Statistica computing platform and includes the platform's software tools, developed macros for describing and presenting statistical and analytical models, as well as decision support modules. The capabilities of the system are shown by specific examples of establishing patterns of development of Russian regions and cities in the real sector of the economy. The corresponding generalized models characterizing the state and development of regions by seven specific indicators in the period from 2012 to 2018 and by four specific indicators characterizing the development of cities in the period from 2003 to 2017 are obtained. It is established that the obtained models of collective behavior, presented in the form of equations of state, do not depend on time, but are determined only by the values of the achieved indicators. The proposed system allows you to increase the efficiency of the decisionmaking process, reduce the time and cost of developing strategic planning documents
Keywords
Strategic planning
Regions and cities
Decision support system
Information analysis system
Equations of states
Applied examples of calculations
