This program allows informed scheduling decisions about how many terminals to provision based on anticipated customer load. Based on input of number of customers expected in an hour and on how long, on average, it takes a terminal to process a customer, and the maximum time you want a customer to spend from when they enter the line to when they have finished at a terminal, the application recommends how many terminals to provision.
This data is applicable to situations where all customers form a single line for multiple terminals. Queues are simulated as M/M/c queues, meaning that the model assumes that customer arrivals are a Poisson process, and that service times are exponentially distributed. It also assumes that customers are served in the order they arrive.
Terms:
Average Customers per Hour
How many people are anticipated to join the queue during the hour.
Average Terminal Service Time
How long it takes a terminal to process somebody out.
Goal Customer Processing Time
The goal time it takes for a customer to finish being processed after they enter the queue.
Average Queue Length
The average number of customers in line, excluding those at a terminal.
Average Processing Time
How long, on average, it takes a customer from entering line to leaving the terminal.