7. Oleg V. Burgonov, Natal’ya P. Golubetskaya, Natal’ya Yu. Vinogradova

Simulation of a Corporate Enterprise Management System

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Oleg V. Burgonov

Professor at the Department of St. Petersburg University of Management Technologies and Economics, Doctor of Economics, Professor

Lermontovskiy Ave 44/A, St. Petersburg, Russian Federation, 190103

Natal’ya P. Golubetskaya

Professor at the Department of St. Petersburg University of Management Technologies and Economics, Doctor of Economics, Professor

Lermontovskiy Ave 44/A, St. Petersburg, Russian Federation, 190103

Natal’ya Yu. Vinogradova

Associate Professor at the Department of St. Petersburg University of Management Technologies and Economics, Ph.D. in Economics

Lermontovskiy Ave 44/A, St. Petersburg, Russian Federation, 190103

In the face of enhancing competition and its transition to the global level, most Russian companies are not prepared to compete due to the lack of a modern management system in many organizations. Complex data flow processing is the optimal method for handling the information processes of a management system. Therefore, it is appropriate to simulate a corporate management system is in accordance with the data cluster of the organization’s general information pattern.
Aim. This study aims to examine and develop methodological approaches to establishing the optimal management system.
Tasks.

  • to analyze the data flows of the management system,
  • to identify different types of management data,
  • to propose an algorithm for identifying the type of management data,
  • to determine the degree of correlation between the components of the data flow,
  • to identify redundant data for decision-making.

Methods. This study mainly uses such methods as data collection, consolidation and systematization, analysis and synthesis, comparison, systems approach and systems analysis, simulation.
Results. The existing data flows in a corporate enterprise management system are analyzed. As a result, the benefits and drawbacks of the existing small enterprise management model and its impact on competitiveness are identified. Algorithms for calculating indicators through zero level indicators make it possible to avoid duplication of the latter, i.e. to eventually reduce the management costs. Methodological approaches to the improvement of the management systems of business structures through the formation of data clusters serving as a foundation for the divisions of the organizational management structure are proposed.
Conclusion. A data flow diagram reflecting the data processing system of an enterprise should work in real time. In practice, this means data is processed as soon as it becomes available in the system, with due regard to the general diagram of hierarchy of data flow components. Zero-level components are required for the formation of higher-level components and the subsequent ones. In this regard, it is important to organize managerial decision-making in such a way that the workload on each decision-maker is equal throughout the entire workflow. However, the discrete nature of data flows creates an uneven flow of information, and, considering the decentralization of data processing, results in bottlenecks in the management process, which has a negative effect on the efficiency of managerial decisions and, consequently, the organization’s activity.

Keywords: data flow, management system, management data, management principles

References

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