4. An office that dispenses automotive licenses has divided its customers into categories to level the office workload. Customers arrive and enter one of three lines based on their residence location. Model this arrival facility as three independent arrival streams using an exponential inter-arrival distribution with a mean of 10 minutes for each stream, and arrival at time 0 for each stream. Each arrival is assigned to a single separate clerk to process the application forms and accept payment, with a separate queue for each. The service time is UNIF (8,10) minutes for all customer types. At the beginning of the simulation, the office has 30 unique plate numbers that they can issue. When 5 plate numbers are left to issue, the office needs to get approval for the next 30 plate numbers. This approval time takes TRIA (8,15,18) minutes. During this time clerks still continue to serve customers if they have enough plate numbers to issue. If there is no new plate number is left, customers wait for approval. After completion of this step, all customers are sent to a single, second clerk who checks the forms and issues the plates (this clerk serves all three customers types, who merge into a single first-come-first-served queue for this clerk. The service time of this facility is UNIF(2.66,3.33) minutes for all customer types. Consider all transfer times are 3 minutes. a) Use stations in your model (advanced transfer modules) and 2D animation for resources, routes, entities. Have graphs for the remaining plate numbers that can be issued and the number of customers at the processing of the application form queue. b) Develop a model of this system and run it for 1200 minutes, observe the average and maximum time in the system for all customer types combined. c) A consultant has recommended that the office not differentiate between customer types at the first stage and suggests using a single queue line with three clerks who can process any customer type. Develop a second model, run it for 1200 minutes, and compare the results with the first system model. 4. An office that dispenses automotive licenses has divided its customers into categories to level the office workload. Customers arrive and enter one of three lines based on their residence location. Model this arrival facility as three independent arrival streams using an exponential inter-arrival distribution with a mean of 10 minutes for each stream, and arrival at time 0 for each stream. Each arrival is assigned to a single separate clerk to process the application forms and accept payment, with a separate queue for each. The service time is UNIF (8,10) minutes for all customer types. At the beginning of the simulation, the office has 30 unique plate numbers that they can issue. When 5 plate numbers are left to issue, the office needs to get approval for the next 30 plate numbers. This approval time takes TRIA (8,15,18) minutes. During this time clerks still continue to serve customers if they have enough plate numbers to issue. If there is no new plate number is left, customers wait for approval. After completion of this step, all customers are sent to a single, second clerk who checks the forms and issues the plates (this clerk serves all three customers types, who merge into a single first-come-first-served queue for this clerk. The service time of this facility is UNIF(2.66,3.33) minutes for all customer types. Consider all transfer times are 3 minutes. a) Use stations in your model (advanced transfer modules) and 2D animation for resources, routes, entities. Have graphs for the remaining plate numbers that can be issued and the number of customers at the processing of the application form queue. b) Develop a model of this system and run it for 1200 minutes, observe the average and maximum time in the system for all customer types combined. c) A consultant has recommended that the office not differentiate between customer types at the first stage and suggests using a single queue line with three clerks who can process any customer type. Develop a second model, run it for 1200 minutes, and compare the results with the first system model
