Intelligent Technologies and Systems for Spatial Industrial Strategic Planning

Abstract

Today, the strategic planning of industrial spatial clusters is becoming extremely important when forecasting industrial regional economic development and making management decisions. Frequently, such challenges involve the use of contemporary methodological approaches and system models. Therefore, the role and importance of system models and intelligent information technologies are increasing, particularly in the creating of interdisciplinary databases and forecasting the results of interaction and interference of different elements of economic space. The main advantage of the research studies, which are based on the spatial approach, is its interdisciplinarity and ability to take advantages of systemic approach and synergy effect in the study of issues related to the spatial organization of the economy and management systems. It is theoretical and empirical study in equal measure. The scientific methodology of the research is system approach and comparative analysis, dynamic principle, and comprehensive consideration of the processes of spatial strategic planning and hybrid modeling. This paper deals with the issues of system modeling implementation and how system models can be used to support the process of spatial industrial strategic planning (SISP) in the context of theory of regional economic growth and development. The main goal of this paper is the analysis of the main domains or areas of system models application to support the process of spatial industrial strategic planning.