customer arrives during the current tick of the clock in real-world systemthis event cannot be directly controlled but is true random act we need to model this action as close as possible in our simulation simple approach would be to flip coin and let "headsrepresent customer arrival but this would indicate that there is / chance customer arrives every time unit this may be true for some systemsbut not necessarily the one we are modeling we could change and use six-sided die and let one of the sides represent customer arrival but this only changes the odds to in that customer arrives better approach is to allow the user to specify the odds of customer arriving at each time step this can be done in one of two ways the user can enter the odds customer arrives during the current time step as real value between (no chanceand ( sure thingif is enteredthen this would indicate there is in chance customer arrives instead of directly entering the oddswe can have the user enter the average time between customer arrivals we then compute the odds within the program if the user enters an average time of then on average customer arrives every minutes but customers can arrive during any minute of the simulation the average time between arrivals simply provides the average over the entire simulation we use the average time to compute the odds of customer arriving as or given the odds either directly by the user or computing them based on the average arrival timehow is this value used to simulate the random act of customer arrivingwe use the random number generator provided by python to generate number between and we compare this result to the probability (probof an arrival if the generated random number is between and prob inclusivethe event occurs and we signal customer arrival on the other handif the random value is greater than probthen no customer arrives during the current time step and no action is taken the arrival probability can be changed to alter the number of customers served in the simulation implementation we can design and implement discrete event computer simulation to analyze the average time passengers have to wait for service at an airport ticket counter the simulation will involve multiple ticket agents serving customers who have to wait in line until they can be served our design will be an object-oriented solution with multiple classes system parameters the program will prompt the user for the queuing system parametersnumber of minutes to simulate number of ticket agents average service time per passenger average time between passenger arrival