Abstract

The aim of the article. The aim of the article is to develop methodological principles for building a problem space model which can be integrated into industrial enterprise management system. The results of the analysis. The author developed methodological principles for constructing the problem space of an industrial enterprise as a structural and functional model. These problems appear on enterprise business process network topology and can be solved by its management system. The centerpiece of the article is description of the main stages of implementation of modeling methodology of industrial enterprise typical management problems. These stages help to solve several units of organizational management system structure of enterprise within their functional competence. Author formulated an axiom system of structural and characteristic properties of modeling space problems elements, and interconnections between them. This system of axioms is actually a justification for the correctness and adequacy of the proposed modeling methodology and comes as theoretical basis in the construction of the structural and functional model of the management problems space. This model generalizes three basic structural components of the enterprise management system with the help of axioms system: a three-dimensional model of the management problem space (the first dimension is the enterprise business process network, the second dimension is a set of management problems, the third dimension is four vectors of measurable and qualitative characteristics of management problems, which can be analyzed and managed during enterprise functioning); a two-dimensional model of the cybernetic space of analytical problems, which are formalized form of management problems (multivariate model experiments can be implemented with the help of this model to solve wide range of problem situations and determine the most effective or optimal management solutions); a two-dimensional model of the standardized enterprise documents set (using this model the process of formal identification and transformation of signals of two types (management signals are received from organizational structure of industrial enterprise management system units, moved to functional nodes of business process network, and transformed into direct informational impulses with management function; regulatory signals are received backwards from business process network after the management was completed according to some management signal, and transformed into reverse informational impulses with control function) can be implemented). At the conceptual level this model shows the nature and mechanism of the management processes flow through organizational and functional structures of the enterprise management system. It becomes possible to enhance the potential of the direct control analysis significantly and reverse regulatory information signals in the enterprise management system. After the problem space model is adapted for a particular enterprise, the investigator can make multivariate model experiments to find effective solutions for a wide range of problem situations. Conclusions and directions of further researches. Implementation of the developed problem space modeling methodology for a particular industrial enterprise opens a prospect for developing an automated control system with elements of artificial intelligence. It allows to create a toolkit with possibilities of economic and mathematical analysis, modeling, prediction and generation of effective management solutions with given properties. A promising direction for further research is the development of appropriate information model, which can deepen and extend possibilities of analysis of management information direct and reverse flows in industrial enterprise management system.

Keywords: management problem, enterprise business process network, problem space, modeling methodology, structural and functional model

JEL Classification: B49, C51, M11.

Cite as: Glushchevsky, V. (2015). Methodology of problem space modeling in industrial enterprise management system. Marketing and Management of Innovations, 1, 124-134. https://doi.org/10.21272/mmi.2015.1-10

This work is licensed under a Creative Commons Attribution 4.0 International License

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