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June 25, 2026
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Оптимизационные модели управления ограниченными ресурсами в логистике

M. : НИЦ Инфра-М, 2021.
Mishchenko A. V., Ivanova A.

The proposed monograph considers optimization models for managing limited resources in logistics systems. Such systems are primarily applied by industrial, transport and trade companies, including wholesalers.

As a rule, the efficiency of these companies depends in most cases on how rational the limited resources are used. Among the resources are the following: production assets, labor force, manufacturing equipment, vehicles, etc. The work studies various approaches to manage such resources when the situation is quite stable or even well-known (the characteristics of the situation can be clearly described) and, on the contrary, when some parameters of model are not specified exactly. In the first case, deterministic models are in focus of research, in the second one, stochastic models are offered. Nevertheless, the authors of the work evaluate the stability of functionality and solution structure in the models if various risk events occur.

The monograph is intended to senior bachelor’s degree students, master's degree students and postgraduates specialized in "Management" and "Logistics" as well as to the specialists interested in logistics systems design.

Research target: Economics and Management Mathematics
Priority areas: economics management mathematics
Language: Russian
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Keywords: логистическая системаpublic transportустойчивость решенийгородской транспортОптимальная производственная программаоптимизационные моделиcustomer service policyполитика обслуживания клиентовlogistics systemstatic models of production programme optimizationoptimal production programmedynamic models of production programme optimizationстатические модели оптимизации производственной программыдинамические модели оптимизации производственной программыoptimization modelslogistics system resource managementsolution stabilityуправление ресурсами логистической системы
Оптимизационные модели управления ограниченными ресурсами в логистике
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