hand simulation please

Consider a drive-in restaurant where two personnel take orders and bring food to the car. Cars arrive in the manner shown in Table 1. The distribution of service times of the two personnel (serving to the cars) is shown in Table 2. If both servers are idle, personnel 2 takes the order. Table 1. Interarrival distribution of cars Time between arrivals (minutes) 1 2 3 4 Cumulative Probabilities 0.25 0.55 0.90 1.00 Table 2. Service distributions of the personnel Personnel 1 Personnel 2 Service Time Cumulative Service Time Cumulative (Minutes) Probabilities (Minutes) Probabilities 0.30 3 5 0.60 4 0.55 6 0.80 5 0.85 7 1.00 6 1.00 4 0.30 Perform the simulation for 10 customers and calculate utilizations of both servers and average waiting time of customers. What can you say about the system after calculating these performance measures? (Random Digits for time between arrivals: 25, 14, 00, 56, 75, 40, 41, 87, 12; Random Digits for service times: 18, 74, 98, 52, 22, 65, 43, 66, 08, 31) Consider a drive-in restaurant where two personnel take orders and bring food to the car. Cars arrive in the manner shown in Table 1. The distribution of service times of the two personnel (serving to the cars) is shown in Table 2. If both servers are idle, personnel 2 takes the order. Table 1. Interarrival distribution of cars Time between arrivals (minutes) 1 2 3 4 Cumulative Probabilities 0.25 0.55 0.90 1.00 Table 2. Service distributions of the personnel Personnel 1 Personnel 2 Service Time Cumulative Service Time Cumulative (Minutes) Probabilities (Minutes) Probabilities 0.30 3 5 0.60 4 0.55 6 0.80 5 0.85 7 1.00 6 1.00 4 0.30 Perform the simulation for 10 customers and calculate utilizations of both servers and average waiting time of customers. What can you say about the system after calculating these performance measures? (Random Digits for time between arrivals: 25, 14, 00, 56, 75, 40, 41, 87, 12; Random Digits for service times: 18, 74, 98, 52, 22, 65, 43, 66, 08, 31)