Scientific & Practical Journal
Editorial News
We are pleased to present to you the final issue of the journal in 2025 and inform you that LOGISTICS is opening a new page in its development by starting cooperation with the Crystal Growth Foundation, which means that the information saturation of the publication will change for the better. The first issue is dedicated to one of the innovative domestic developments, AI-Kantorovich, which the Crystal Growth Foundation created together with Hive Mind AI.
Dear readers! We are pleased to present to you the eleventh issue of the journal in 2025. There are a lot of relevant and useful materials in the issue, which, hopefully, will not be ignored.
Dear readers! In September the CeMAT RUSSIA exhibition was held, which showed everyone that innovations and robotics are increasingly penetrating the logistics industry. We can safely say that many technologies are tested here, and only then they go out into the world. However, it is not only CeMAT RUSSIA that demonstrates the prevalence of the digital agenda.
PHOTO OF THE WEEK
CITATIONS
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Mathematical modeling of perishable goods transportation logistics
M.V. Kolesnikov, I.I. Nosyrev5 / 2025 | TRANSPORT. TRANSPORTATION
Annotation. The transportation of perishable goods is one of the most challenging tasks for mathematical modeling. In such problems, the priority is clarity in planning shipments and delivering the cargo, with key variables being time constraints. Every analyst working on such models must have experience and knowledge of real-world conditions – and, most importantly, the ability to present the solution results as actionable recommendations in a format understandable to the client. The article examines a generalized mathematical model, which is broken down into stages, each with its own models and solution methods. In conclusion, the overall transportation scheme is analyzed, and recommendations are provided for drafting contracts between producers and retail outlets.
Key words. Perishable cargo, freight transportation, transportation, mathematical model, least cost method, assignment problem, transportation network.
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