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EN
Optimization in the area of road transport is the subject of numerous scientific publications. Its analysis uses programming languages (including linear) and tools enabling not only a detailed analysis of the examined process but also including data dynamics (demand variability) and the availability of resources (means of transport) diversified in terms of permissible total mass (GVW). Such tools are useful because they support decision-making processes. This paper uses the example of a military supply network to present a multi-criteria methodology enabling minimization of total transport costs, number and type (due to load capacity) of vehicles used, distance traveled, fuel used, and CO2 emissions into the atmosphere. Moreover, additional restrictions on existing transport resources were included, considering the number and type of vehicles available at the base. This is of great importance, especially when there is a need to provide emergency deliveries, for example, in the event of a war threat. The proposed method is universal and was developed using an MS Excel spreadsheet with the Solver add-in.
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