DETERMINING THE OPTIMAL SERVICE AREA OF A LOGISTICS CENTER: A QUANTITATIVE APPROACH

The efficiency of modern logistics is largely determined by the resilience of all components and links within the supply chain. Logistic centers play a critical role in ensuring this stability. The current study presents an approach to optimizing the service area of a logistics center for both urban and suburban regions. Key decisions for suppliers include selecting the mode of delivery – either direct or via a logistics center – and determining their optimal location. Based on expert surveys, delivery cost was identified as the primary decision-making criterion. A mathematical model was developed, incorporating such factors as the size of the service area, delivery density, cargo volume, vehicle capacity, and technical speed. Statistical analysis revealed strong nonlinear correlations between the parameters (r > 0.85). Newton’s method was employed for optimization. The analysis showed that the most significant factors affecting delivery cost are the service area, cargo volume, and vehicle capacity, while technical speed and delivery point density have less influence. The principal advantage of the proposed approach lies in the development of a simple and intui