Of customer arrivals the decision making of the

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of customer arrivals, the decision making of the customers in terms of where they choose their food, the popularity of each food station, and how long each station in the cafeteria would take to process a costumer. The study encouraged our students how to pursue and complete their work. Another study was conducted by Texas A&M University simulating a fast-food restaurant [2]. This study helped our students to enforce a standard for their model. The final model of current work resembles with the Texas A&M study, advocating solutions how to reduce the customer waiting times during the rush-hours. Simulation models were developed by adding more workers, adding more space for the workers in their respective stations, and by applying these suggestions during the core hours [3]. The decision making implemented in [2] was more complex than the current study. However, the implementations in [2] served our students how to continue the developing work presented in this paper. After analyzing how to implement entities and decision making, students continued to identify how to decrease the queueing time of the customers. The
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