Develop a model of a simple serial two-process system. Items arrive at the system with a mean time between arrivals of 10 minutes, with the first arrival at time 0. They are immediately sent to Process 1, which has a single resource with a mean service time of 9 minutes. Upon completion, they are sent to Process 2, which is identical to (but independent of) Process 1. Items depart the system upon completion of Process 2. Performance measures of interest are the time-average numbers in queue at each process and the average total time in system of items. Put a textbox in your model with each of these performance measures’ values for each of the four run conditions listed. Using a single replication length of 10,000 minutes, make the following four runs and compare the results (noting that the structure of the model is unchanged, and it’s only the input distributions that are changing: (a) Exponential inter-arrival times and exponential service times (b) Constant inter-arrival times and exponential service times (c) Exponential inter-arrival times and constant service times (d) Constant inter-arrival times and constant service times