Parts arrive at a four-machine system according to an exponential interarrival distribution with mean 10 minutes. The four machines are all different and there's just one of each. There are five part types with the arrival percentages and process plans given below. The entries for the process times are the parameters for a triangular distribution (in minutes). Part Machine/ Process Time Machine/ Process Time Machine/ Machine/ % 12 Process Time Process Time 1 1 2 4 7.1,8.5,9.8 10.5,11.9,13.2 14 6.7,8.8,10.1 2 6,8.9,10.3 1 3 7.3,8.6,10.1 5.4,7.2,11.3 9.6,11.4,15.3 31 4 1 3 8.7,9.9,12 8.6,10.3,12.8 10.3,12.4,14.8 3 6.5,8.3,9.7 8.4,9.7,11 24 3 7.9,9.4,10.9 7.6,8.9,10.3 1 6.7,7.8,9.4 5 19 4 5.6,7.1,8.8 8.1,9.4,11.7 9.1,10.7,12.8 The transfer time between arrival and the first machine, between all machines, and between the last machine and the system exit follows a triangular distribution with parameters 8, 10, 2 (minutes). Collect system cycle time (total time in system) and machine utilizations. Run your model for 10,000 minutes. If the run is long enough, give batch-means-based confidence intervals on the steady-state expected values of the results. 3. 4.