Find an actual system to simulate, ideally a queueing system, e.g., Starbucks, Chick-fil-A in Student Union. Explain to the manager what you want to do, and obtain his/her permission to observe, collect data and model. Your system/model must be more complex than just a single channel queue with one server. 1. Define the objectives for the study. 2. Collect input data on arrival times, service times, and any other input data that you feel is relevant. Data should be collected on at least two representative days. 3. Collect output data to verify your model; e.g., waiting times, and total time in the system, total customers served, queue lengths, etc. 4. Fit the data to appropriate distributions. 5. Build a simulation model using SIMIO to simulate your system. Capture the key aspects of the system. State all assumptions in your write up (e.g., input distributions). 6. Verify and validate your model 7. Run the model as a terminating simulation. 8. Compare your model's output to the actual output and explain any discrepancies. 9. Determine the number of replications you will need to run in order to obtain your desired accuracy for the terminating model. Demonstrate that you have obtained your desired accuracy. 10. Increase the demand by 25% and 50% and describe what happens to the system. What happens if additional resources are added? How much extra capacity will this provide? 11. Suggest at least two alternative configurations that should improve the system and make a statistical comparison between the original system and each of your two alternatives. 12. Analyze and write-up all your results. The report should include detailed explanation of the system, definition of aproblem, objectives for the study, the analysis of the data, assumptions, detailed description of the model, clear representation of the results and conclusions