Issue №: 4 (74)
The journal deals with the issues of efficiency of functioning of the national economics and organizational forms of management of the national economy. Attention is paid to the problems of marketing, management and efficiency of production and economic activity of agrarian enterprises. The issues of public administration and administration, accounting and taxation, banking and insurance, forecasting and modeling of economic processes, foreign economic activity, commodity flows of economic entities and their infrastructure support.
THEORETICAL AND METHODOLOGICAL FOUNDATIONS OF SUPPLY LOGISTICS ROUTE OPTIMIZATION IN DECISION SUPPORT SYSTEMS
KOLIADENKO Svitlana – Doctor of Economic Sciences, Professor, Professor of the Department of Computer Sciences and Digital Economy, Vinnytsia National Agrarian University (21008, Vinnytsia, 3, Soniachna Str., e-mail: kolyadenkosv@ukr.net, https://orcid.org/0000-0001-7670-6905).
TYTARCHUK Yevhenii – Candidate of Technical Sciences, Senior Lecturer of the Department of Computer Sciences and Digital Economy, Vinnytsia National Agrarian University (21008, Vinnytsia, 3, Soniachna Str., e-mail: etitarchuk+vnau@gmail.com, https://orcid.org/0009-0003-9518-7057).
KIPORENKO Svitlana – Assistant of the Department of Computer Sciences and Digital Economy, Vinnytsia National Agrarian University (21008, Vinnytsia, 3, Soniachna Str., e-mail: kiporis11@ukr.net, https://orcid.org/0000-0001-5045-5052).
The increasing complexity of supply logistics systems driven by digitalization, market globalization, and growing environmental uncertainty significantly reduces the effectiveness of traditional static route planning approaches. Volatile demand, unstable transport infrastructure, and logistical risks require decision-making tools capable for operating under dynamic conditions. In this context, decision support systems (hereinafter – DSS) play a key role in improving the efficiency and reliability of supply logistics management.
The purpose of the study is to develop a justification for the theoretical and methodological foundations of supply path optimization in decision support systems based on the use of economic and mathematical modeling, taking into account transportation costs, delivery time, and risk-oriented parameters.
The research employs methods of system and comparative analysis, economic and mathematical modeling, scenario-based analysis, and it analyzes algorithmic approaches suitable for their implementation in DSS. A generalized formalization of the supply logistics optimization problem is proposed, which allows for both routing-based and flow-based interpretations and can be integrated into decision support systems using real-time data. The role of real-time data is examined as a mechanism for adaptive route re-planning and reduction of information asymmetry.
The scientific novelty of the study lies in substantiating a comprehensive approach that combines multi-criteria route optimization, uncertainty factors, and economic evaluation of the results within decision support systems. The practical significance of the obtained results consists in their applicability for improving the economic efficiency of the enterprise supply logistics, reducing logistics risks, and substantiating the feasibility of investing in digital logistics solutions.
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8. Sharvan, M., & Ustenko, A. (2025). Optymizatsiia lohistychnykh protsesiv u postachalnytsko-zbutovii systemi pidpryiemstva [Optimization of logistics processes in the supply chain system of the enterprise]. Sotsialnyi rozvytok: ekonomiko-pravovi problemy – Social Development: Economic and Legal Issues, 4. DOI: https://doi.org/10.70651/3083-6018/2025.4.20 Retrieved from: https://www.eu-scientists.com/index.php/sdel/article/view/184/178 [in Ukrainian].
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About journal
051 Economics
071 Accounting and taxation
072 Finance, banking and insurance
073 Management
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241 Hotel, restaurant and catering
281 Public administration
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