Three types of customers arrive at a small airport: check baggage (30%, that is, for each arriving customer there is a 0.30 probability that this is a ch1.66eck-baggage customer), purchase tickets (15%), and carry-on (55%). The interarrival-time distribution for all customers combined is EXPO(1.3); all times are in minutes and the first arrival is at time 0. The bag checkers go directly to the check-bag counter to check their bags the time for which is distributed TRIA(2, 4, 5)proceed to X-ray, and then go to the gate. The ticket buyers travel directly to the ticket counter to purchase their ticketsthe time for which is distributed EXPO(7)proceed to X-ray, and then go to the gate. The carry-ons travel directly to the X-ray, then to the gate counter to get a boarding pass the time for which is distributed TRIA(1, 1.6, 3). All three counters are staffed all the time with one agent each. The X-ray time is EXPO(1). All travel times are EXPO(2), except for the carry-on time to the X-ray, which is EXPO(3).

Describe how you would model this problem.

Build the model using ARENA Syntax and explain what the function of each module is you used in the model.

Identify the VARIABLES, EXPRESSIONS, ATTRIBUTES, ENTITIES used in the model. (10-Mark) d) Identify what OUTPUT need to be collected from this model.

(You can use excel but you must give the background, what is coming where and why? You can't just dump the screen)