MODEL AND ARCHITECTURE OF A DECISION SUPPORT SYSTEM FOR ASSESSING MATERIAL RESOURCE PROVISION IN EDUCATIONAL ORGANIZATIONS

The aim of this study is to develop a model and architecture of a decision support system for assessing the material resource provision of educational organizations. The paper proposes the architecture of an information and analytical system that integrates the processes of data collection, storage, analytical processing, and visualization of information on the material resources of educational organizations. The system architecture includes subsystems for data acquisition from multiple sources, a centralized data warehouse, an analytical processing core, tools for visualizing indicators, and a module for generating management reports.
The methodological basis of the study is the application of mathematical modeling methods to formalize the processes of assessing the provision of educational organizations with equipment. A system of quantitative indicators is proposed, including the calculation of normative equipment demand, the provision coefficient, the resource deficit indicator, the integrated provision index, and the equipment retirement risk indicator. The developed model makes it possible to conduct a comprehensive assessment of the condition of the material and technical base of educational organizations.
Unlike traditional inventory accounting systems used in educational organizations, the proposed architecture integrates a mathematical model for calculating the equipment provision coefficient, the integrated provision index, and the equipment retirement risk indicator within a multi-level analytical decision support framework. This approach enables analytical monitoring of infrastructure provision rather than simple inventory accounting of equipment.

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