Organizations are ubiquitous. They are necessary to accomplish complex tasks. To be serviced by almost any organization, one must stand in a queue. We discovered what was happening during the peak periods of transactions, and how many employees would have to be scheduled to minimize waiting time. Therefore, this program gives a manager a way to study the various alternatives in scheduling, which could be used to optimize employees and their work schedules, alleviating waiting.

This project used the queueing theory to analyze customer time in a queue in order to determine an optimal number of employees to schedule in any service industry and provided the computations required for the analysis of any system that features a waiting line (queue).