Organization of empty wagon delivery technology in the logistics network

A station-level analysis was conducted to improve customer service at loading and unloading fronts for cargo flows. According to the results of the analysis in 2025, it was found that at the Tashkent Regional Railway Junction, the allocation of wagons at the client's request takes an average of 3-6 days, and this situation is associated with a shortage of wagons and uneven supply due to the different organization of cargo flows. To eliminate this problem, a new technology has been developed based on an optimization model aimed at the rational distribution of empty cars; lease and contract mechanisms with private car owners are also taken into account. The software developed on the basis of the model operatively recalculates orders and forms decisions on the allocation of wagons to customers in real time (practical tests showed a reduction in the delivery time of empty wagons by ~25 % and a reduction in downtime by > 20 %).

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Publication Details

Journal
Mathematical Models in Engineering
Published
2026-02-17
DOI
https://doi.org/10.21595/mme.2026.25379
Primary Topic
Transport and Logistics Innovations
Type
article
Field-Weighted Citation Impact
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article

Organization of empty wagon delivery technology in the logistics network

Jamshid Barotov, Jamshid Kobulov
Mathematical Models in Engineering
Transport and Logistics Innovations
article

Organization of empty wagon delivery technology in the logistics network

Jamshid Barotov, Jamshid Kobulov
article en

Abstract

A station-level analysis was conducted to improve customer service at loading and unloading fronts for cargo flows. According to the results of the analysis in 2025, it was found that at the Tashkent Regional Railway Junction, the allocation of wagons at the client's request takes an average of 3-6 days, and this situation is associated with a shortage of wagons and uneven supply due to the different organization of cargo flows. To eliminate this problem, a new technology has been developed based on an optimization model aimed at the rational distribution of empty cars; lease and contract mechanisms with private car owners are also taken into account. The software developed on the basis of the model operatively recalculates orders and forms decisions on the allocation of wagons to customers in real time (practical tests showed a reduction in the delivery time of empty wagons by ~25 % and a reduction in downtime by > 20 %).

Mathematical Models in Engineering
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Transport and Logistics Innovations
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