Customers arrive at an order counter with exponential

Customers arrive at an order counter with exponential interarrivals with a mean of 10 minutes; the first customer arrives at time 0. A single clerk accepts and checks their orders and processes payments, taking UNIF(7.9, 10) minutes. Upon completion of this

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activity, orders are randomly assigned to one of two available stock persons (each stock person has a 50% chance of getting any individual assignment) who retrieve the orders for the customers, taking UNIF(16, 20) minutes. These stock persons only retrieve orders for customers who have been assigned specifically to them. Upon receiving their orders, the customers depart the system. Develop a model of this system and run the simulation for 5,000 minutes, observing the average and maximum customer time in system.

A bright, young engineer has recommend that they eliminate the assignment of an order to a specific stock person and allow both stock persons to select their next activity from a single first-come, first-served order queue. Develop a model of this system, run it for 5,000 minutes, and compare the results to the first system. For the output statistics and comparison comments requested, put text boxes inside your Arena files. Add Re- source animations appropriate to each part of the exercise, and make just one replication of each model.