Didactic strategy to learn probabilistic modeling in queuing sytems

Abstract

This investigative work aimed to implement a didactic strategy to develop a modeling of the queue system of the student kiosk in a Colombian university using probabilistic models. The methodology was quantitative with a cross- sectional design. The data was collected by direct observation and counting the number of users who reached the queue of the university kiosk to purchase their lunch tickets, in 10-minute intervals. The results showed that such a system could be modeled by Poisson and exponential probability distributions, this system operated in a stable way, the waiting time in the queue was reduced and the service time was relevant. It is concluded that mathematical modeling is a powerful tool to represent a real system but it requires developing a planned strategy that goes from the data to the model and from this back to reality.