Scientific & Practical Journal
Editorial News
Dear readers! This is the seventh issue of LOGISTICS. By tradition, in the July issue, we publish analytical reviews from our partners – a study of the market of low-temperature warehouses in Moscow and the Moscow region from the IBC Real Estate agency and a rating of Russian transport companies by the cost of delivering bulk cargoes in 2025 from the Main Transport Internet project.
Dear readers! We are pleased to present you the sixth issue of the LOGISTICS magazine in 2025, which contains a lot of relevant materials. In the latest issue, our permanent partner COMITAS company presents an innovative solution dictated by the shortage of warehouse space and difficulties with personnel selection – the high-rise automated self-supporting "COMITAS Warehouse".
Dear readers! The first half of the year is approaching, which means that on the pages of the fifth issue of the magazine you will find a lot of useful analytical materials on the markets of warehouse real estate, cargo transportation, etc. Our authors Yu.V. Klimenko, M.G. Grigoryan, R.N.
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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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