Browsing by Author "Kozenkov, Dmytro Ye."

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    AI Technology Implementation in Company Compliance Management
    (Ukrainian State University of Science and Technologies, Dnipro, 2025) Waszkielewicz, Wiesław; Kozenkov, Dmytro Ye.
    ENG: The article examines the use of artificial intelligence (AI) in compliance as a tool for automating audits, reducing risks, and improving monitoring efficiency. It describes key AI applications, including transaction analysis (AML), risk management, automated regulatory document analysis, compliance chatbots, employee behavior monitoring, counterparty verification (KYC), audit automation, and open-source intelligence analysis. The key technologies involved in these processes are highlighted, such as machine learning, natural language processing (NLP), biometric identification, and big data analytics. The article concludes that the implementation of AI in compliance significantly enhances security, minimizes human errors, and improves adaptation to regulatory changes.
  • Thumbnail Image
    Item
    Implementation of Compliance in the Metallurgical Enterprise Management System
    (Ukrainian State University of Science and Technologies, Dnipro, 2025) Kozenkov, Dmytro Ye.
    ENG: The implementation of compliance in the metallurgical industry is strategically important for optimizing production processes, reducing risks, and increasing the competitiveness of enterprises. The article examines the mechanisms and algorithms for implementing compliance, including the creation of a regulatory framework, the integration of modern technologies, staff training, internal audit, and the formation of a corporate culture of responsibility. A comprehensive approach to compliance ensures compliance with regulatory requirements, minimizes risks, and promotes sustainable development. Particular attention is paid to the integration of information technologies for real-time monitoring of production processes, as well as the importance of regular staff training for effective response to deviations from norms. An effective compliance system is an integral part of modern metallurgical enterprise management.
  • Thumbnail Image
    Item
    Logistics Approach to the Assessment of the Risks of a Metallurgical Enterprise Using Artificial Intelligence
    (Publishing house "Internauka", Kyiv, 2024) Kozenkov, Dmytro Ye.; Kaut, Olga V.; Shportko Hanna Yu.
    ENG: Introduction. The modern process of making managerial decisions cannot be imagined without considering risks. Risks, emerging in any part of production logistics, are the cause of potential losses for the entire logistics system of an enterprise, and decision-making regarding their minimization is a criterion for ensuring production efficiency. Adequate risk assessment allows for increasing the soundness of managerial decisions regarding the selection of measures aimed at reducing the frequency of risk events and the scale of potential losses. The significant increase in the number of works on risk management in recent years indicates a growing need for practical and theoretical understanding of this issue. However, it should be acknowledged that the management of production risks in the logistics system is currently insufficiently researched. Purpose. The aim of the research is to disclose conceptual approaches to making managerial decisions considering risks within the scope of production logistics, which includes three mechanisms: assessment of economic consequences, forecasting the magnitude of expected consequences, and monitoring subsystem. Materials and methods. The research materials consist of the principles of economic theory and scientific works by domestic and foreign scholars on risk management issues. During the research process, the following scientific methods were utilized: theoretical generalization and grouping (for assessing risks and their impact on economic consequences, as well as identifying various risk factors, risk types, and for grouping risk management methods). Results. Decision-making with consideration of risks within the scope of production logistics involves the use of the following mechanisms: the mechanism for assessing the consequences of risks in production logistics that occurred during the reporting period; the mechanism for forecasting the consequences of risks in production logistics; monitoring the consequences of risks in production logistics. The aim of making managerial decisions with consideration of risks within the scope of production logistics is aimed at adequate assessment of the consequences resulting from risk events and includes three mechanisms: assessing the economic consequences of events that have occurred and selecting measures to reduce them; forecasting the magnitude of expected consequences considering preventive measures and evaluating their impact on financial results; a monitoring subsystem that allows for controlling actual and potential losses and additional costs for all elements of logistic flows. Discussion. In further scientific research, it is proposed to focus on the implementation process of a monitoring system to ensure quick and effective decision-making with consideration of risks within the production logistic system.