In this research the logistic data obtained from four companies from Eastern Serbia are analyzed, and the decision model is created considering different aggregating operators. One point of view has included application of GPS system for monitoring and measuring important parameters for vehicles. Companies from Western Serbia have implemented this kind of approach to the asset monitoring. They have applied a GPS, vehicle and machine tracking system, and thus had gained a competitive advantage. Using the GPS system, the parameters for the vehicles could be processed, such as: time interval, mileage for a given interval, fuel consumption per probe, and fuel consumption per computer board, as well as average fuel consumption, and amount of refueling-filling, amount of drained fuel and number of discharges, maximum travel speed, average speed, average engine speed, and the effective operating hours. Another approach includes creation of decision model which depends on various aggregated operators. For the chosen criteria such as quantity of gasoline drained monthly from the vehicle tank, quantity of gas drained monthly from the vehicle tank, and number of kilometers travelled monthly. The resulting weight is calculated applying SWARA method. The degree of importance is presented in the appropriate tables, taking into account different aggregation operators, such as OWA, IOWA and OWAWAIMAM. The optimal results for each company are presented and SWARA method and different aggregate functions are implemented. This approach has shown that decision making strategies depend on adoption of adequate method.
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