Optimizing Medical Goods Transportation Through Advanced Logistics Networks

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Olexandr Budniuk
Dmytro Havrychenko
Serhii Shcherbakov
Аnzhela Olkhovska
Hanna Mazurenko

Abstract

The purpose of the study is to model the process of assessing the level of organization of logistics networks for the transportation of medical goods. The object of the study is the modern logistics network for transporting goods in the Czech Republic. Thescientific task is to formulate a model for assessing the level of organization of logistics networks for the transportation of medical goods. The research methodology includes a modelling method based on correlation-regression analysis and regression equations and a fuzzy modelling method. As a result of the use of these methods, it was investigated how different factors influence the transportation of medical goods. To summarize the analysis of these factors, a model was formed to assess the level of organization of logistics networks for the transportation of medical goods.  However, the study has a number of limitations. So, first of all, the limitation concerns the use of the method of correlation-regression analysis and fuzzy modeling. The use of thesemethods does not allow us to cover the entire set of factors, and only some of them, the key ones, have the greatest impact on logistics networks. Moreover, our analysis focused exclusively on one country and its regions, which may limit the scope of application of the established methodology to other countries.  Prospects for further research include expanding the methodological base and increasing the coverage of analysis to other countries.

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How to Cite
Budniuk, O., Havrychenko, D., Shcherbakov, S., Olkhovska А., & Mazurenko, H. (2025). Optimizing Medical Goods Transportation Through Advanced Logistics Networks. Journal of Management World, 2025(1), 766-770. https://doi.org/10.53935/jomw.v2024i4.796
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Articles

How to Cite

Budniuk, O., Havrychenko, D., Shcherbakov, S., Olkhovska А., & Mazurenko, H. (2025). Optimizing Medical Goods Transportation Through Advanced Logistics Networks. Journal of Management World, 2025(1), 766-770. https://doi.org/10.53935/jomw.v2024i4.796