Using Arena Simulate: People (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) 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%) ($25) Triangular delay. Min: 10 Minutes. Most likely: 20 minute. Max: 30 minutes Simulate over eight hour time period (just one replication) A) How many of each item are sold, and how much is made ($)? B) 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? c)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?