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and to reduce system delay and increase the accuracy of fuel volumes taken by
customers. Also the proposed architecture enables customers to re-fuel using various
payments methods.
According to the importance of evaluating the performance of the proposed FMS,
various simulation programs developed to illustrate the interaction scenarios between
different components, and to measure some system statistics such as average service
time, average waiting time and other statistics that considered important for fueling
companies and customers. The results obtained from the simulation programs
reflected the efficiency of the proposed FMS.
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