Technologies for optimal location of logistics centers for critical infrastructure

Serhii Dziuba; Larysa  Koriashkina; Danylo  Lubenets; Boris  Blyuss; Yana Litvinova

doi:10.61089/aot2026.mts3f726

Authors

Serhii Dziuba M.S. Poliakov Institute of Geotechnical Mechanics of the National Academy of Sciences of Ukraine, Dnipro, Ukraine Author https://orcid.org/0000-0002-3139-2989
Larysa Koriashkina Department of System Analysis and Control, Dnipro University of Technology, Dnipro, Ukraine Author https://orcid.org/0000-0001-6423-092X
Danylo Lubenets Department of System Analysis and Control, Dnipro University of Technology, Dnipro, Ukraine Author https://orcid.org/0009-0000-8563-3760
Boris Blyuss Prydneprovsk Research Center of the National Academy of Sciences of Ukraine and of Ministry of Education and Science of Ukraine, Dnipro, Ukraine Author https://orcid.org/0000-0003-3077-1220
Yana Litvinova Department of Transport Management, Dnipro University of Technology, Dnipro, Ukraine Author https://orcid.org/0000-0003-2806-4076

DOI:

https://doi.org/10.61089/aot2026.mts3f726

Keywords:

critical infrastructure, logistics center, optimization, multistage distribution, multiplex zoning, facility location, geoinformation technologies

Abstract

The paper is devoted to current issues concerning the development of critical infrastructure and the improvement of the efficiency of its units, particularly in planning proactive organizational and technical measures for rapid response to natural or man-made emergencies. The aim of the study is to create technologies and, based on them, to develop a software system for the placement of critical infrastructure logistics centers, as well as the determination of resource flows between them, taking into account the limited capacities of the centers and ensuring minimal transportation and organizational costs. The technologies developed and presented in the study are based on mathematical tools, including models and methods for optimal facility location and multiplex partitioning of continuous sets, as well as models and methods for two-stage distribution of material flows in hierarchical logistics systems. The created software system, written in Python 3 and integrated with modern geographic information systems, combines the necessary functionality for researching center placement algorithms, determining their service areas, analyzing material flows between structural elements of critical infrastructure, and rationally selecting locations for logistics facilities based on existing ones. The presented results of logistics system modeling confirm the correctness of the algorithms and demonstrate the applicability of the multifunctional software system for supporting managerial decisions related to the development of critical infrastructure, reducing transportation and operational costs through the optimization of material flows between structural units. The use of the Google Maps API cloud platform for obtaining spatial data allows for the rational distribution of material resources across existing or newly optimally placed centers, considering their capabilities and spatio-temporal criteria. In studying two-stage distribution processes, the developed technology supports the formulation of proposals for organizing such processes, aligning the local interests and functional goals of individual logistics system elements with the main objective: achieving optimal overall transportation, time, and associated costs.

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