An office that issues license plates has divided its customers into categories to level out the office's workload. Customers arrive and enter one of three lines based on their residential location. Model this arrival activity as three independent arrival flows using an exponential interarrival distribution with a mean of 10 minutes for each flow and an arrival at time 0 for each flow. Each type of customer is assigned a unique, independent employee to process application forms and accept payment, with a separate queue for each. Service time is UNIF(8, 10) minutes for all types of customers. After completing this step, all customers are sent to a single second employee who verifies the forms and issues the plates (this employee serves all three types of customers, which are merged into a single queue on a first-come, first-served basis for this employee) . The service time for this activity is UNIF(2.65, 3.33) minutes for all types of clients. Develop a model of this system and run it for a single 5000-minute replica; Look at the average and maximum time in system for all customer types combined. A consultant has recommended that the office not differentiate between clients in the first stage and use a single line with three employees who can process any type of client. Develop a model of this system, run it for a single 5000-minute replication, and compare the results with those of the first system. Place text boxes in your Arena files with the requested numerical results.