Managerial Solutions in the System of Developing Commodity Market Infrastructure and Managing Production and Warehouse Logistics

Анотація

The article provides a thorough study of the theoretical and methodological foundations of managerial decision-making in the specific context of the functioning and development of the commodity market infrastructure, as well as the optimization of production and warehouse logistics processes. It is substantiated that in conditions of global instability, transformation of supply chains, and increasing security risks, managerial decision-making acts as a key tool for harmonizing material and information flows. The multidimensional nature of managerial choice is revealed as a result of the synthesis of rational analysis, the infrastructural capabilities of the enterprise, and the requirements of the digital economy. Special attention is paid to substantiating the appropriateness of implementing the SERVO method not only as a narrow analytical tool but also as an integral conceptual framework for strategic management. The study details the interdependence of five key components of the method: strategic objectives, characteristics of the external market environment, resource provision (technological and infrastructural), organizational values, and the internal structure of the logistics complex. It is proved that the systematic integration of these elements enables managers of logistics units to identify hidden imbalances between the stated development strategy and the actual operational capabilities of the infrastructure, which are often overlooked in traditional analytical approaches. Within the research, the «decision tree» tool has been adapted to substantiate complex investment projects for the automation of warehouse complexes, allowing the modeling of various market demand scenarios and minimizing financial losses. Particular emphasis is placed on the use of BPMN graphical notation for standardizing and visualizing multi-level logistics processes. The authors demonstrate that formalizing decision-making algorithms using BPMN ensures transparency in warehouse operations, reduces the risk of staff errors, and provides the necessary foundation for the successful implementation of integrated management systems such as WMS and ERP. The research findings confirm that applying the proposed analytical tools significantly enhances the organization's internal readiness for large-scale strategic changes, supports informed resource redistribution, and aligns logistical priorities with volatile market conditions. The practical significance of the study lies in establishing a methodological framework to improve the flexibility of managing infrastructure facilities and minimize risks associated with implementing long-term logistical initiatives in the modern Ukrainian economy.

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