Use Arena to: Simulate going to a restaurant and ordering food Answer some questions from perspective of restaurant management

Download and Install Arena Student Software Go to: https://www.arenasimulation.com/academic/students Follow download instructions After downloading and unzipping, run \\MediaImage\autorun.exe to install Software has no time limit, but has model limitations

Screenshots for installing Arena Click here

Screenshots for installing Arena Click here

Using Arena, simulate: (entities) going to a strip mall of restaurants People arrive as exponential process, once every minute. Two entities per arrival. People choose from among three restaurants. Each restaurant has a certain number of workers (resources) available: McDonald’s (20%). 10 workers (resources) available. Chipotle (60%). 7 workers (resources) available. Outback (20%). 6 workers (resources) available. Model each of the following menu items as a “Process,” which uses “Seize-Delay-Release” logic actions. Each menu item uses one resource (worker). Each has an item price. If they choose McDonald’s, they can choose: Happy Meal (50%) ($2.50) Triangular delay. Min: 0 Minutes. Most likely: 1 minute. Max: 2 minutes Grilled Chicken (50%) ($4) Triangular delay. Min: 0 Minutes. Most likely: 3 minute. Max: 7 minutes If they choose Chipotle, they can choose: Burrito (75%) ($5) People Triangular delay. Min: 2 Minutes. Most likely: 3 minute. Max: 4 minutes Quesadilla (25%) ($5) Triangular delay. Min: 4 Minutes. Most likely: 5 minute. Max: 7 minutes If they choose Outback, they can choose: Shrimp Cocktail (25%) ($9) Triangular delay. Min: 0 Minutes. Most likely: 1 minute. Max: 3 minutes Lamb Chops (75%) ($25) Triangular delay. Min: 10 Minutes. Most likely: 20 minute. Max: 30 minutes

Using Arena, simulate: Simulate over eight hour time period (just one replication) How many of each item are sold, and how much is made ($)? What’s the economic value to Outback of adding one more worker? What’s the most Outback should be willing to pay this person per hour? This model is obviously a gross simplification of complex real-world phenomena. If you were to increase the unit price of any item, how might that affect real-world decision making? Explain how could we account for that in this model?

Screenshot Example (yours doesn’t have to look exactly like this)