ECONOMIC JUSTIFICATION OF METHODOLOGICAL APPROACHES TO MODELING INDICATORS IN THE CONTROLLING SYSTEM OF A PRODUCTION AND TRADING ENTERPRISE UNDER RISK CONDITIONS
Abstract
Introduction. In the period of contemporary transformational changes in the market environment, characterized by the intensification of economic crises, the issue of ensuring sustainable functioning and strategic responsiveness becomes particularly relevant for production and trading enterprises. Enterprises must be prepared for external economic changes, their impact on business processes, and the necessity to develop timely corrective actions in the market. However, for many enterprises, this task remains challenging due to the low efficiency of economic justification and the implementation of both operational and strategic decisions. Therefore, a key direction for improving the organization of economic activity and its rationalization for any enterprise—particularly production and trading ones—should involve the development and practical implementation of highly effective controlling methodologies using modern tools of economic and mathematical modeling. This will enhance the efficiency of monitoring, control, and diagnostic processes of the enterprise’s current state and enable forecasting and adjustment of its future development trends.
Methods. The study employs theoretical and methodological generalization, analysis, synthesis, statistical data processing, and economic-mathematical modeling, which ensures the substantiation of algorithms and corresponding approaches for improving monitoring, control, and diagnostic methodologies within the controlling system of a production and trading enterprise, taking into account risk factors.
Results. The article proposes improvements to methodological approaches aimed at enhancing the efficiency of the controlling system through the rationalization of key tasks, including monitoring, control, diagnostics, and forecasting of the development trends of a production and trading enterprise.
Algorithms based on rule-production mechanisms for modeling quantitative values of normalized indicators within the analytical block of the enterprise controlling system have been developed. This enables efficient processing of information related to the enterprise’s performance based on financial statements over specified retrospective periods. As a result, sets of normalized indicators are obtained (in particular, using the method of relative normalization, where the maximum value of an indicator is assumed to be equal to “1”) for defined components of an integrated composite indicator of the enterprise’s performance. These are further used for solving economic and mathematical modeling tasks within the analytical block of the controlling system.
An example of the application of monitoring, control, and diagnostic tools in the management of a production and trading enterprise is provided.
Discussion. Further research should be directed toward the development of applied methodologies for the quantitative assessment of risk impacts, taking into account industry-specific characteristics of enterprise activity, as well as the integration of the proposed models into digital information and analytical controlling systems to ensure the automation of monitoring, diagnostics, and forecasting processes.
Keywords
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DOI: https://doi.org/10.35774/ibo2026.01.105
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