MATHEMATICAL MODELING AND FLOW FORMALIZATION FOR ANALYSIS, OPTIMIZATION AND ANOMALY DETECTION IN LOGISTICS, FINANCE AND PROCUREMENT

A. I. Borovikov, O. A. Krivodubsky

About the authors

A. I. Borovikov, O. A. Krivodubsky

Боровиков Алексей Иванович – аспирант «Автоматизированные системы управления» Донецкого национального технического университета, г. Донецк. Область научных интересов: автоматизация и управление технологическими процессами и производствами, интеллектуальные методы управления, машинное обучение, методы и системы искусственного интеллекта.

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UDC: 519.8:658.512
DOI: 10.24412/2413-7383- 2025-2-37-31-43
Language: Russian

Abstract: The article provides an overview of modern methods for formalizing material, financial, and information flows in enterprises. It examines object -oriented and process -oriented approaches, as well as discrete, graph -based, and matrix models used for analysis, optimization, and anomaly detection in logistics and financial processes, including procurement. The article discusses the integration of various models and the use of machine learning tech niques to enhance analysis efficiency and decision-making.

Keywords: mathematical modeling, flow formalization, logistics, finance, procurement, anomalies, optimization, machine learning, graph models, matrix models, discrete models.

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Issue: 2(37)'2025
Section: MATHEMATICAL MODELING, NUMERICAL METHODS AND SOFTWARE SYSTEMS
How to cite: A. I. Borovikov, O. A. Krivodubsky. MATHEMATICAL MODELING AND FLOW FORMALIZATION FOR ANALYSIS, OPTIMIZATION AND ANOMALY DETECTION IN LOGISTICS, FINANCE AND PROCUREMENT // Problems of Artificial Intelligence. - 2025. - № 2 (37). - P. 31-43. - https://paijournal.guiaidn.ru/en/2025/2(37)-4.html

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