Hybrid Logistics Model in International Trade: A Combination of Imports, Local Production and Distribution in the Context of Global Instability

2025 Vol. 2 No. 2 https://www.eujini.org.pl 65 ISSN 3071-9658 https://www.eujini.org.pl Hybrid Logistics Model in International Trade: A Combination of Imports, Local Production and Distribution in the Context of Global Instability Mykhaylo Khalamandro 1 * 1 Ternopil Academy of National Economy, Ternopil (Ukraine). CEO, Entrepreneur. * Corresponding Author, e-mail: [email protected] ARTICLE INFO ABSTRACT Research Article Received: 11 May 2025 Revised: 18 June 2025 Accepted: 27 June 2025 Published online: 15 July 2025 Copyright © 2025 by author This is an open access journal and all published articles are licensed under a Creative Commons Attribution— NonCommercial 4.0 International (CC BY-NC 4.0) DOI: 10.5281/ zenodo.17565726 The relevance of the study is stipulated by the need to rethink logistics strategies in international trade in the context of global instability, disruption of traditional supply chains, institutional fragmentation and an increase in the number of external shocks, from geopolitical conflicts to pandemic and financial crises. It has been found that classical models dominated by import dependence lose their effectiveness in the context of multivector volatility, which requires the formation of more flexible logistics systems with builtin adaptation mechanisms. The purpose of the article is to provide a scientific basis for an adaptive model of hybrid logistics in international trade that integrates imports, localized production and domestic distribution, taking into account scenario risks, logistics costs and requirements for the continuity of trade flows, and to develop approaches to its application in the face of uncertainty and growing systemic challenges. The research methodology is based on a combination of systemic, scenario, structural-functional and comparative approaches. The article analyzes the evolution of logistics strategies, identifies the key principles of interaction between the components of hybrid logistics, typologizes countries by their adaptive potential, and assesses the impact of infrastructure and institutional factors on the efficiency of models in different regions. The results of the study are reflected in the construction of a structural model of hybrid logistics with five basic elements (import, localized production, distribution, analytical module, digital management platform), which provides flexible re-profiling of flows in accordance with changing external conditions. The author identifies typical barriers to the implementation of such models, ranging from regulatory inconsistencies to technological asymmetries. Applied mechanisms for the implementation of hybrid logistics based on the cases of Ukraine, Singapore, and Kazakhstan are identified. The conclusions confirm the need to move to hybrid models as a basic condition for increasing trade sustainability. It is proved that the effectiveness of such a system is due to the availability of multimodal infrastructure, digital integration, local production capabilities, and cross-sectoral coordination. It is substantiated that traditional linear schemes do not provide the necessary flexibility in the face of crisis. Prospects for further research are related to quantitative modeling of the adaptive potential of national logistics systems, creation of digital platforms for managing hybrid logistics based on AI, and development of industry-specific scenarios for use in high-risk sectors. KEYWORDS adaptive logistics, scenario risk modeling, regional self-sufficiency, digital supply management, cross-border coordination Mykhaylo Khalamandro , 2(2) https://www.eujini.org.pl 66 Introduction he modern system of international trade is undergoing transformational pressure due to global economic instability, geopolitical conflicts, supply chain disruption, and rising costs of logistics services. In these conditions, traditional logistics models focused mainly on centralized imports or fully localized production are losing their effectiveness. There is an objective need to build flexible hybrid logistics models that combine the import of components or finished products with local production and a developed internal distribution system. This approach helps to reduce dependence on external shocks, respond quickly to changes in demand, and optimize costs through the adaptive redistribution of logistics functions between countries of origin, transit, and final consumption. At the same time, there are a number of scientific and practical challenges associated with the need to theoretically substantiate the parameters of hybrid logistics, model its resilience to external destabilizing factors, and develop coordination mechanisms between different operational units. The issues also include choosing the optimal balance between imports and local production, building a distribution strategy in unstable transport corridors, and creating a digital infrastructure for managing multi-format flows of goods. The relevance of the study is driven not only by the needs of business adaptation to the new reality, but also by the public policy demand to strengthen the economic sustainability of national trade systems in the global space. Literature Review n analysis of current research on the model of hybrid logistics in international trade, which combines imports, local production and distribution in the context of global instability, allows us to identify four leading research areas. The first concerns the strategic combination of global and local logistics flows, taking into account the dynamics of external shocks. D.-W. Kwak, V. S. Rodrigues, R. Mason, and others have developed a comprehensive model of risk interaction in international supply chains that allows for domino effects due to the disruption of one of the links, in particular in the context of geoeconomic turbulence (Kwak et al., 2018). The study by E. Karanina, E. Selezneva, and S. Chuchkalova emphasizes the need to transform national logistics systems by adapting to the requirements of the global infrastructure and increasing resilience to crisis phenomena (Karanina et al., 2020). In the work of P. Tae-Woo Lee, P. Chhetri, W. Liu, and C. W. Lin, the emphasis is placed on the need to integrate transport and logistics strategies to ensure the sustainability of global trade, in particular through the combination of import flows with local logistics (Lee et al., 2024). A. Q. Olufemi-Phillips, A. N. Igwe, A. S. Toromade, and N. Louis used quantitative modeling to demonstrate the impact of global destabilization on food supply chain pricing and resilience, highlighting the importance of diversifying sources of supply (Olufemi-Phillips et al, 2024). In general, research in this area proves the relevance of developing adaptive strategies for balancing imports and local production to prevent distribution disruptions. Further research should focus on quantitative analysis of the optimal balance between global and local components of logistics systems in an unstable market. The second area covers the infrastructural and organizational foundations for the formation of hybrid logistics models. In the work of Z. H. Shikur, logistics efficiency is defined as a factor in the development of the foreign trade potential of countries, with an emphasis on the integration of local logistics nodes into international networks (Shikur, 2022). The article by R. Shibasaki, D. Watanabe, and T. Kawasaki summarizes examples of the global implementation of integrated logistics solutions that provide for the coordinated operation of local and international goods flow management systems (Shibasaki et al., 2021). Domestic researchers A. Putintsev, O. Klymenko, S. Mala, A. Horlach, N. Petrukha, and M. Kovtun consider the social and environmental aspects of corporate responsibility, which is a prerequisite for building sustainable hybrid logistics in business (Putintsev et al., 2022). In turn, S. Melnyk, Z. Ravlinko, N. Petrukha, G. Mokhonko, and O. Ohirko investigate the application of project management approaches to ensure the sustainable functioning of socioeconomic systems, including logistics components (Melnyk et al., 2023). These studies emphasize the need to develop local infrastructure, connect it to global channels, and implement corporate sustainability principles in logistics activities. Further research should cover the effective functioning of hybrid logistics in the context of regional development and localization of production. T A Mykhaylo Khalamandro , 2(2) https://www.eujini.org.pl 67 The third area concerns the introduction of digital technologies, algorithmic routing and intelligent systems for optimizing logistics processes. Q. Gan proposes a hybrid model for optimizing logistics routes based on an intelligent algorithm that ensures adaptability to changes in the supply environment (Gan, 2022). T. Phiboonbanakit, T. Horanont, V.-N. Huynh, and T. Supnithi have created a model using reinforcement learning algorithms to solve vehicle routing problems, which allows to take into account real traffic conditions and demand dynamics (Phiboonbanakit et al., 2021). The study by Y. Esmizadeh and M. Mellat Parast proposed the design of logistics networks taking into account the priorities of companies and the risks of destabilization, which is relevant in the context of global chain disruptions (Esmizadeh & Mellat Parast, 2021). A. V. Barenji, W. M. Wang, Z. Li, and D. A. Guerra-Zubiaga have developed an e-commerce logistics platform based on an agent-based approach that can dynamically adapt to the conditions of hybrid trade (Barenji et al., 2019). The work of S. F. W. Lim, X. Jin, and J. S. Srai generalized last-mile logistics models based on consumer behavior, which allows for a rapid response to changes in demand and logistics links (Lim et al., 2018). All these works demonstrate the potential of digitalization for building adaptive hybrid logistics focused on speed, flexibility, and efficiency. Further research should focus on the development of integrated digital architectures of logistics systems supported by artificial intelligence and predictive analytics. The fourth area covers the barriers to the implementation of hybrid logistics solutions related to regulatory fragmentation, insufficient unification of standards, and limited access to resources. D. Çelebi emphasizes the difficulties in harmonizing standards between states, which create obstacles to scaling the hybrid model at the regional level (Çelebi, 2019). The study by W. Chu, M. Chan, J. Cheung, and H. Nguyen analyzes the transformation of the global supply chain in the textile industry, emphasizing the importance of adapting logistics to industry and institutional conditions, in particular in volatile markets (Chu et al., 2019). These studies indicate the need for a comprehensive transformation of the regulatory and institutional framework to create conditions for the implementation of hybrid logistics. Further research should be directed to the development of interstate regulatory frameworks and institutional mechanisms to support adaptive logistics in the face of multilevel challenges. Despite existing research in international logistics, key aspects of adapting logistics strategies to global turbulence remain unresolved. In particular, the mechanisms of combining imports, local production and distribution into a single functional system capable of self-regulation are not sufficiently studied. Existing models are mostly based on fragmented analyses of individual elements of supply chains, without accounting for their interactions under scenario risks. The number of empirical studies that would systematically analyze the impact of infrastructure, institutional and technological factors on the functioning of hybrid logistics in different national contexts remains limited. Problem Statement he proposed study aims to fill the identified gaps by formalizing a conceptual model of hybrid logistics with an adaptive structure and mechanisms for dynamic switching between components. The development is based on system analysis, scenario risk modeling, and comparative assessment of cases from different countries. This approach allows to deepen the understanding of the relationships between the components of the logistics system, expand the theoretical basis for adaptive management in the field of trade and offer practical solutions to increase its sustainability under conditions of uncertainty. The purpose of the article is to substantiate the conceptual model of hybrid logistics in international trade, which combines imports, local production and distribution, taking into account the impact of global instability, and to develop approaches to its practical implementation in the context of growing risks and uncertainty. To achieve this goal, the following tasks have been set: To analyze the transformation of logistics strategies in international trade under the influence of geoeconomic instability and the changing role of imports, local production and distribution. T Mykhaylo Khalamandro , 2(2) https://www.eujini.org.pl 68 To identify the factors of hybrid logistics efficiency and barriers to its implementation in the context of institutional and infrastructural unevenness. To create an adaptive model of hybrid logistics, taking into account risks, costs and requirements for the continuity of goods flows. Methods and Materials he study used an integrated approach that combines elements of content analysis of international organic certification standards (EU Organic, USDA NOP, Bio Suisse, Naturland), as well as secondary statistical processing of empirical data on the export of Ukrainian medicinal plants. The source base was official reports of the Ministry of Agrarian Policy, TRACES (EU), CBI, USDA, Organic Standard, as well as analytical reviews of specialized industry platforms. The key factors of certification's impact on exporters' competitiveness were identified using the method of structural logic analysis. To assess the economic effect of certification, a comparative analysis of price premiums, the dynamics of export supplies and the frequency of cargo returns at the border was used. The method of empirical generalization allowed to identify typical barriers to the introduction of certification. The case of the Ukrainian company Zhyvana Organics was used as an illustrative material, which allowed to deepen the applied dimension of the study. Results and Discussion he context of the destabilization of the global economic order caused by pandemic shocks, trade wars, military conflicts and energy crises, logistics strategies for international trade are undergoing a significant transformation. The traditional focus on efficiency, scalability and centralized cost optimization is giving way to a paradigm of flexibility, resilience and adaptability. In particular, there is a shift from globalized, linear supply chains to regionalized, hybrid or networked models that allow for a quick response to external shocks. There is a need for a comprehensive review of logistics management strategies with a focus on multi-level diversification, localization of critical elements, and integration of digital tools. This evolution not only reflects a change in economic priorities, but also puts forward new requirements for the organizational structure of trade flows. Table 1. Stages of evolution of logistics strategies in international trade Stage Key characteristic Supply chain model Main priorities Typical risks 1990-2007 Globalization expansion Centralized, transcontinental Cost minimization, outsourcing Dependence on Asian hubs 2008-2019 Adaptation to crisis disturbances Centralized with elements of regionalization Balance between cost and reliability Vulnerability to financial crises 2020-2022 Period of COVID19 and mobility restrictions Disaggregation, search for alternatives Continuity of supply, local hubs Transportation disruptions, shortages 2022 onwards Turbulent reorganization Hybrid network with localization Resilience, flexibility, omnichannel Geopolitical risks, sanctions Source: Chu et al. (2019); Karanina et al. (2020); Kwak et al. (2018); Lee et al. (2024); Olufemi-Phillips et al. (2024); Shibasaki et al. (2021). The evolution of logistics strategies demonstrates a clear shift in emphasis from the global centralized supply model to hybrid configurations that combine different levels of spatial organization and supply channels. In the period before 2008, vertically integrated global chains with minimal inventory (just-in-time), heavy dependence on Asian production clusters, and a focus on low costs dominated. The global financial crisis of 2008 exposed critical vulnerabilities to macroeconomic shocks, but the real break in strategic logistics planning occurred during the COVID-19 pandemic, when mobility restrictions, port closures, and container shortages paralyzed supply chains (Lee et al., 2023; Shibasaki et al., 2021). T T Mykhaylo Khalamandro , 2(2) https://www.eujini.org.pl 69 In response, companies have begun to deploy the concepts of nearshoring, warehouse decentralization, and omnichannel planning. The most radical changes were observed after 2022, when Russia's invasion of Ukraine, the energy crisis in Europe, and sanctions policy caused not only a rise in the cost of logistics routes but also a structural reassessment of cross-border supply risks. Companies that had single points of import, such as through the Black Sea or Baltic ports, were forced to reorient their routes to Western Europe or alternative land hubs. For example, electronics and auto component manufacturers began to transfer part of their production to Poland, Slovakia, and Romania, which reduces logistics leverage, enables fast delivery to European markets, and reduces political dependence on Asia (Kwak et al., 2018; Karanina et al., 2020). An example of an adaptive response to the crisis is also the strategy of pharmaceutical companies that, following the global shortage of medicines in 2020-2021, invested in localizing production in areas with high logistical accessibility, such as the Czech Republic or Turkey, and distribute through cloud-based inventory management platforms with automated risk analytics. At the same time, the use of digital twins of logistics networks is intensifying, which model stress scenarios and allow for rapid route reorganization in the face of changes in customs regulations, tariffs, or physical hazards of transportation (Barenji et al., 2019; Esmizadeh & Mellat Parast, 2021). Thus, the hybridization of logistics strategies appears not only as a response to the crisis, but also as a structural adaptation to a new global paradigm in which resilience, variability, and local presence are crucial. This opens up new opportunities for transition economies, including Ukraine, which can act as a regional logistics hub for Europe, while requiring a high level of infrastructural adaptation and digital integration with international partners (Shikur, 2022; Olufemi-Phillips et al., 2022). In the context of increasing volatility of global markets and fragmentation of international supply chains, the task of integrating imports, local production and domestic distribution into a single adaptive logistics system is becoming extremely relevant. The classical division of logistics functions into separate autonomous units is not effective enough in crisis scenarios accompanied by border delays, currency fluctuations, power outages, or transportation restrictions. Modern logistics should function as an open, dynamically adaptive system that ensures interdependence and interchangeability between its key components. This involves not only the technical integration of processes, but also the strategic coordination of decisions at the level of risk management, operational planning and spatial configuration of resources (Table 2). Table 2. Principles of integration of adaptive logistics system elements Interaction component Functional role Adaptation principle Key integration tool Expected effect Import flows Provision of scarce or specialized resources Flexibility of routes and sources Multi-hub supply system Minimizing the risk of chain interruption Local production Quick response to changes in demand, partial replacement of imports Modularity and scalability Contract manufacturing, localization Reduction of the logistics cycle Internal distribution Operational coverage of the territory, service availability Synchronization with production and inventory Digital warehouse and delivery management platforms Improved service and speed Source: Systematized by the author based on the research Gan (2022); Melnyk et al. (2023); Putintsev et al. (2022); Shikur (2022); Çelebi (2019). In the context of growing geo-economic turbulence, the full interaction between import flows, local production, and domestic distribution is formed as a dynamically controlled matrix in which each component plays an interdependent role rather than an isolated one. Imports provide access to critical raw materials or high-tech components, but their routes are constantly evaluated through a system of scenario risk analysis; in case of disruptions, flows are quickly reoriented to alternative hubs. Local production acts as a buffer that smooths out fluctuations in demand and compensates for import delays thanks to a modular capacity configuration that can be quickly scaled up through contractor sites. Domestic distribution is synchronized with these changes through digital inventory Mykhaylo Khalamandro , 2(2) https://www.eujini.org.pl 70 and transportation management platforms that aggregate real-time telemetry and recalculate optimal routes based on raw material availability and production slots. In practice, such a system works as a continuous feedback loop: data on the status of stocks, customs corridor capacity, and production shift schedules are fed into a single analytical core, which uses predictive analytics algorithms to make decisions on stock rotation, changes in import points, or allocation of production quotas. The effectiveness of the approach is confirmed by cases where enterprises have maintained supply continuity after the destruction of traditional chains: Ukraine's Darnytsia integrated parallel imports of substances through several European points, increasing internal contract manufacturing and coordinating deliveries to pharmacy chains through a cloud-based planning platform, which helped to compensate for a 38 percent reduction in drug imports in 2022 (Darnytsia, 2023); At the same time, there has been a wave of nearshoring strategies to Central Europe, where companies are moving part of their production to Poland, using it as a regional logistics hub to quickly restart supply chains disrupted by the pandemic and the war in Ukraine (DW, 2023). These examples demonstrate that the integrative logistics model provides not just a backup scheme, but a constantly updated balance between global and local resources, minimizing downtime costs, reducing transaction risks, and increasing the network's resilience to multi-vector shocks. The implementation of hybrid logistics requires national economies to have not only infrastructure capacity but also systemic adaptability to changes in the external environment. This adaptability is ensured by a set of components that form logistics flexibility at the macro and meso levels: from physical infrastructure to institutional coordination, digital integration, and the ability to quickly localize critical nodes. These elements serve as prerequisites for flexible redistribution of import, production, and distribution flows in a crisis. The formalization of such components allows to unify the criteria for assessing adaptive potential, as well as to develop a typical model of the logistics readiness of the national system for the implementation of hybrid logistics (Table 3). Table 3. Components of the adaptive potential of the national logistics system to the hybrid model Adaptability component Content filling Role in hybrid logistics Multimodal infrastructure Integrated sea, rail, road and air routes Providing delivery alternatives in case of blockades and disruptions Regulatory flexibility Updated customs and tax regimes, simplified certification procedures Quick reorientation of chains with minimal barriers Digital integration Monitoring platforms, analytics based on IoT and big data Real-time coordination of import, production and distribution Localization of production Availability of industrial clusters, contract manufacturing Compensation for import delays and creation of internal backup links Institutional coordination Combining the efforts of the state, business and the public sector in crisis scenarios Ensuring the governance component in the face of shocks Source: Systematized by the author based on the research of Barenji et al. (2019); Esmizadeh & Mellat Parast (2021); Lim et al. (2018); Phiboonbanakit et al. (2021); Reuters (2023); USAID (2024). The practical effectiveness of this model is confirmed by the cases of countries that implement its various components. For example, the creation of the Middle Corridor, a Mediterranean multimodal route connecting China and Europe via Kazakhstan, Azerbaijan, Georgia, and Turkey, has reduced delivery times to 10-15 days, avoiding dependence on the route through Russia (RAND Corporation, 2024). Digital integration in Singapore is implemented through the Networked Trade Platform, which provides a single digital space for customs, financial and logistics operations (Singapore Customs, 2024). In Ukraine, an example of effective localization of production and digital coordination is the launch of a drone delivery system through the DOT-Chain platform, which has reduced delivery times from months to weeks (Business Insider, 2025). Additionally, the USAID-ERA project, together with Nibulon, has implemented an upgrade of grain logistics by introducing river transportation through Izmail and Mykolaiv. This reduced logistics costs by 20% and compensated for the limited access to Black Sea ports (USAID ERA, 2024; Reuters, 2023). Mykhaylo Khalamandro , 2(2) https://www.eujini.org.pl 71 In the context of ever-increasing geo-economic instability, the implementation of hybrid logistics solutions in international trade faces a number of systemic barriers, both structural and functional. One of the key obstacles is regulatory fragmentation, which is manifested in the lack of harmonized customs, sanitary and certification procedures between partner countries, which significantly complicates the rapid switching between routes or import sources. In practical terms, this leads to situations where, even if a transport alternative is available, an enterprise cannot implement a hybrid model due to the requirement to re-certify products or changes in the regulatory regime regarding dual use, which is especially relevant in the high-tech or pharmaceutical sectors (Çelebi, 2019; Chu et al., 2019; Karanina et al., 2020). The second significant barrier is the lack of flexible logistics planning tools that would allow businesses to effectively synchronize imports, local production, and distribution. In many cases, businesses rely on isolated IT solutions or manual management, which makes it impossible to quickly reconfigure logistics configurations in response to changes in demand, currency dynamics, or crossborder restrictions. The lack of integrated digital platforms with scenario modeling, adaptive inventory forecasting, and virtual duplication of logistics routes deprives businesses of the ability to respond to changes in real time (Gan, 2022; Lim et al., 2018; Phiboonbanakit et al., 2021). This is especially critical for transition economies, where the digital transformation of logistics is in its early stages, and access to high-tech solutions is limited due to the cost and lack of localized solutions (Barenji et al., 2019; Esmizadeh & Mellat Parast, 2021). The third limitation is the lack of access to local resources needed to partially or completely replace imported supplies in the event of disruptions. This is not only about raw materials or supplies, but also about the availability of prepared production sites, a workforce with appropriate skills, logistics partners, and financial mechanisms to quickly launch localized production and distribution cycles (Melnyk et al., 2023). Even in cases where an enterprise has a strategic readiness for localization, real constraints in the form of a lack of infrastructure, energy capacity, or administrative barriers make it difficult to implement such strategies. In countries with a high degree of centralization or weak regional coordination, these problems are exacerbated, reducing the ability to functionally unbundle logistics operations at the local level (Putintsev et al., 2022; Shikur, 2022). Given the increased volatility of global markets and the fragmentation of international supply chains, there is an objective need to develop an adaptive hybrid logistics model capable of providing flexible management of the flow of resources, semi-finished and finished products based on a dynamic combination of imports, localized production and domestic distribution. Unlike traditional models that involve the sequential movement of goods within a hierarchical chain, an adaptive hybrid system is based on the network interaction of autonomous elements, each of which is able to independently compensate for disruptions in another segment. Its relevance is driven by the increasing frequency of exogenous shocks - from port blockades to sanctions, inflationary shocks, or armed conflicts - which makes classical models of a linear supply chain vulnerable. Adaptive hybrid logistics is important because it allows not only to re-route or change suppliers, but also to redistribute functions between imports, local production, and distribution based on real-time, scenario modeling, and cost-effectiveness. It differs from existing concepts not only in its integration architecture but also in its built-in self-regulation mechanisms that ensure continuity of supply in the event of a partial or complete disruption of one of the elements. The model is based on a combination of three groups of variables: scenario risks (geopolitical, logistical, economic), logistics cost indicators (transportation, storage, customs clearance), and indicators of the criticality of the goods flow (volume, frequency, sensitivity to delays). The model is formalized as a decision matrix with dynamic switching points and an assessment of the route/node feasibility based on a combination of factors (Fig. 1). For example, if maritime exports are blocked as a result of a military conflict or sanctions, the analytical module records the inaccessibility of the import channel, and the system automatically activates an alternative scheme: transferring part of the volume to local production, changing the distribution route (for example, from ports to railways), and redistributing warehouse stocks in regional hubs. If the cost of customs clearance in a particular direction becomes more expensive, the platform recalculates the cost-effectiveness and switches imports to a new hub with a lower load or activates contract manufacturing at a domestic site. Mykhaylo Khalamandro , 2(2) https://www.eujini.org.pl 72 Figure 1. Adaptive model of hybrid logistics: block diagram Source: Author’s own development. This model is particularly useful in economies with a high dependence on external supplies or in multi-vector logistics, such as the pharmaceutical, food, electronics, or humanitarian sectors. Its implementation allows not only to reduce losses from disruptions but also to increase the level of logistics autonomy, ensure the flexibility of the supply system, optimize costs, and maintain the integrity of the chain even in the event of its partial destruction. In the long run, the model can become the basis for the formation of a strategic reserve of logistics resilience both at the level of individual enterprises and within the framework of state trade and security policy. Conclusions his study has developed an adaptive model of hybrid logistics that combines imports, localized production and distribution, taking into account scenario risks, costs and the need for continuity of goods flows. The model is based on the principle of distributed resilience, which implies the functional interchangeability of logistics system elements in a crisis. In contrast to classical hierarchical schemes, the proposed approach allows for rapid adaptation of the supply configuration based on digital monitoring and analytics. It has been established that the main barriers to the implementation of hybrid logistics are regulatory fragmentation, lack of flexible digital planning tools, insufficient localization of resources, and weak inter-institutional coordination. These limitations significantly reduce the ability of economies to respond quickly to exogenous challenges and ensure the sustainability of international trade. Practical cases (Ukraine, Singapore, and Kazakhstan) confirm the feasibility of using the model, provided that there are five key components: infrastructure mobility, digital integration, flexible regulation, local production, and systemic management. Further research should focus on quantifying the adaptive potential, scenario testing of the model in specific sectors, and the development of AI-based digital management platforms taking into account energy and security factors. References Barenji, A. V., Wang, W. M., Li, Z., & Guerra-Zubiaga, D. A. (2019). 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