After running many trials of our simulation, we decided that running it at an 80% efficiency gave us the most realistic result of a day in the theme park. We realized that guests are not always single riders willing to ride the roller coaster in any row with any other guest seated next to them. The guests may be families, adolescents, groups of 3, 4, 5 etc. Because of this, different riders will have different preferences. In general, rides run at about 80% efficiency due to the fact that the roller coaster is not typically filled to 100% capacity and, of course, there are often flaws or lags in run-time that keep the roller coaster from reaching its perfect per hour capacity. We had several specifications named to be met in our problem statement, and our simulation allowed us to meet them all to a certain extent. Our layout is accurate, but we were unable to implement all of the minor attractions throughout the park because this would highly over-complicate our model. The quantitative values: capacities of each ride, duration of each ride, walking distance between each ride, and number of guests that enter the park per day, are all accurate. However, we were unable to obtain information about the exact distribution of guests entering throughout the day. Figure 15 shows the chosen distribution of entering guests throughout the day.

9 am – 10 am 20% 0.20
10 am – 11 am 25% 0.25
11 am – 12 pm 15% 0.15
12 pm – 1 pm 20% 0.20
1 pm – 2 pm 10% 0.10
2 pm – 3 pm 5% 0.05

Figure 15 : distribution of guests entering the park at certain times