METHODOLOGICAL BASES FOR THE FORMATION OF INFORMATION SYSTEMS FOR SUPPORT AND DECISION-MAKING IN THE FIELD OF SUPPLY LOGISTICS

Abstract

This paper examines the principles of building such systems, the factors that determine their effectiveness, and the architectural and functional requirements. Purpose. This study justifies the methodological foundations for forming information systems that support decisionmaking in supply logistics. It considers current digitalization trends, the growing complexity of logistics networks, and the need for more accurate management decisions. Methodology. Systemic and structural-functional approaches were employed to analyze logistics information systems as multilevel entities. Theoretical methods of analysis, synthesis, and generalization of modern approaches to developing decision support systems were employed. The modeling approach identified the factors and patterns of construction, and predictive methods outlined the architectural requirements in the context of dynamic logistics processes. Scientific novelty. For the first time, the methodological principles for forming information systems to support decisionmaking in supply logistics have been systematized. These principles cover systematicity, integration, adaptability, predictability, and operational coordination. The interrelationships between the factors of the logistics environment and the functional characteristics of these systems have been identified. A generalized methodological framework suitable for developing and modernizing management support solutions has been established. Conclusions. The effectiveness of support and decision-making systems in supply logistics depends on comprehensively considering external and internal factors, coordinating information flows, and ensuring the system can adapt to changes in supply and demand. The proposed methodological principles ensure the integrity and consistency of logistics information systems, creating a foundation for further developing optimization models and software tools that support management decisions.