One of the greatest challenges of management bodies modeling and analysis is to calculate the ratio between centralization and decentralization. The significance of this problem becomes apparent in relation to management bodies with hierarchical structure that include several levels of decision-making.
Analysis of existing approaches to hierarchical systems modeling leads us to conclude that nowadays the problems of hierarchical structures optimization and the problems of modeling of business processes and information management systems are being solved effectively.
The aim of the study was to provide a foundation for the development of innovative and advanced methods of hierarchical architectures modeling by converging methods of hierarchical multilevel systems theory and methods for modeling of business processes that ensure the achievement of qualitatively new results in seeking solutions to scientific, socio-economic, information and analysis problems.
The study identified three main approaches to modeling different types of hierarchy: stratified systems, multi-layered systems, and multi-tiered systems.
Stratified Approach. The family of models assigns a system during stratification. Each model describes behavior of the system in terms of different levels of abstraction. There are certain characteristics and variables, laws and principles for each level. Together these levels are called strata and describe behavior of the system. There should be considerable independence of models at different levels of the system to make such description more effective.
A multi-layered system meets three basic criteria:
Structural. A system is viewed as integrity of interrelated components. Relations among the system elements raise quality. This additional quality took several names: emergence, effect of integrity, integral effect or integral (systemic, collective) quality.
Hierarchical. A complex system is included into a higher level system, and each of its elements can be considered in turn as a system (a subsystem);
Functional. A system is characterized, first, by input and output parameters and, second, by parameters of system condition.