METHODOLOGY FOR ADAPTIVE DEVELOPMENT OF PRODUCTION LOGISTICS TECHNOLOGICAL SYSTEMS IN FEA

Abstract

Introduction. The large-scale integration of national production complexes into global value chains requires business entities to maintain high flexibility within their internal operating environment. Engaging in foreign economic activity (FEA) is accompanied by stringent requirements for the spatiotemporal synchronization of material, information, and financial flows. Since international market parameters are characterized by a high level of uncertainty due to constant fluctuations in freight rates, changes in customs regulations, and the transformation of cross-border routes, traditional static approaches to managing in-house production logistics cycles are losing their efficacy. A systemic scientific and practical contradiction arises: the internal technological structures of enterprises remain rigidly determined, whereas the macroeconomic factors of foreign economic activity demand high dynamics and adaptability. Existing research predominantly views production logistics and foreign economic activity tools as autonomous subsystems, thereby creating a methodological vacuum. Consequently, an objective necessity emerges to formulate a holistic methodology for the development of technological systems in production logistics that are capable of ensuring the operational resilience of enterprises against the challenges of the global market.

Purpose. The purpose of the study is to theoretically substantiate and develop a holistic methodology for the development of production logistics technological systems of foreign economic activity (FEA) entities, aimed at overcoming flow desynchronization, forming flexible modular structures under macroeconomic constraints, and identifying and modeling their adaptive potential to ensure the operational resilience of enterprises.

Materials and methods. The information base of the study comprises: 1) the regulatory and legal framework, international standards, customs regulations, and tariff restrictions governing foreign economic activity (FEA) and cross-border logistics flows; 2) the works of domestic and foreign scholars in the fields of management, production logistics, systems theory, and international economic relations regarding the optimization of technological systems and supply chain management within the context of FEA.

The following scientific methods were employed in the course of the research: theoretical generalization and grouping (to characterize the components of technological systems and logistics functions, and to determine the logistics cost structure); formalization, analysis, and synthesis (to construct the interaction scheme and map information and material flows between internal cycles and external logistics structures); mathematical modeling (to develop a multiplicative model for determining adaptive potential); and logical generalization of results (to substantiate the conceptual provisions of the methodology and formulate final conclusions).

Results. The scientific paper formulates the core methodological principles for the development of production logistics technological systems of FEA entities, which include the principles of module flexibility, preemptive buffering, and end-to-end digital integration. A multiplicative model for determining the adaptive potential of a technological system is substantiated based on the geometric mean of technological flexibility, logistics synchronicity, and operational resilience to destabilizing factors, enabling the detection of the 'bottleneck' effect. A classification matrix of strategic adaptation tools differentiated by FEA vectors has been developed. For the proactive export vector, the essence of the 'Late Customization' concept is disclosed, which entails the mass production of goods with their final modification and packaging at border hubs, thereby ensuring economies of scale and reducing response time to foreign counterparties' orders. For the protective import supply system, the 'Just-in-Case' concept is substantiated; by establishing a pool of backup suppliers and calculating dynamic safety stocks, it guarantees the uninterrupted operation of production shops under customs-tariff or logistical constraints at the border.

Discussion. In further scientific research, it is proposed to focus attention on the practical approbation of the developed multiplicative model using the example of industrial enterprises across various industries, as well as on designing artificial intelligence algorithms for the real-time dynamic recalculation of safety stocks depending on the intensity of cargo flow delays at customs checkpoints.