Economic Efficiency of Logistics Optimization Strategies

Abstract

An integral and strategically important component of the modern economy is the efficient functioning of logistics systems, as they ensure the continuity of supply, rational use of resources, and the competitiveness of enterprises in the global market. In the context of instability and growing uncertainty caused by global crises, traditional approaches to logistics optimization are losing their effectiveness since they do not sufficiently account for risks and the economic consequences of managerial decisions. This determines the need to develop new approaches that combine economic models with modern data analysis methods, simulation modelling, and fuzzy logic tools. The purpose of the study is to substantiate the economic efficiency of logistics process optimization strategies using multi-criteria analysis, simulation modelling, and fuzzy logic, as well as to formulate practical recommendations aimed at enhancing business resilience and competitiveness. The paper describes theoretical and methodological approaches to evaluating the efficiency of logistics systems, identifies the key criteria of economic efficiency (costs, time, service quality, risks), and considers the role of digitalization and innovation in the transformation of logistics strategies.

Analytical results have shown that traditional strategies are primarily aimed at short-term cost reduction but have a limited impact on service quality and environmental indicators. Innovative approaches based on digital technologies provide a significant improvement in service levels and environmental sustainability but require larger investments. Combined strategies, which integrate adaptability and sustainability, demonstrated the highest overall effect, as they allow achieving a balance between costs, service, and ecological parameters. Practical implications concern business (warehouse optimization, transport flows, inventory management), public policy (support for digital platforms, infrastructure investments), and science (further integration of economic models with artificial intelligence systems). Thus, the study confirms the feasibility of applying simulation modelling and fuzzy logic to evaluate the economic efficiency of logistics strategies and highlights the prospects for developing comprehensive multi-criteria models capable of ensuring the long-term competitiveness of enterprises.