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 f ve part types with the arrival percentages and process plans given here. The entries for the process times are the parameters for a triangular distribution (in minutes). Part Type % Machine/ Process Time Machine/ Process Time Machine/ Process Time Machine/ Process Time 1 12 1 10.5,11.9,13.2 2 7.1,8.5,9.8 3 6.7,8.8,10.1 4 6,8.9,10.3 2 14 1 7.3,8.6,10.1 3 5.4,7.2,11.3 2 9.6,11.4,15.3 3 31 2 8.7,9.9,12 4 8.6,10.3,12.8 1 10.3,12.4,14.8 3 8.4,9.7,11 4 24 3 7.9,9.4,10.9 4 7.6,8.9,10.3 3 6.5,8.3,9.7 2 6.7,7.8,9.4 5 19 2 5.6,7.1,8.8 1 8.1,9.4,11.7 4 9.2,10.7,12.8 kel01315_ch07_311-344.indd 341 17/12/13 10:10 AM 342 Chapter 7 The transfer time between arrival and the f rst machine, between all machines, and between the last machine and the system exit follows a triangular distribution with parameters 8, 10, 12 (minutes). Collect system cycle time (total time in system) and machine utilizations. Animate your model (including part transfers) and run the simulation for 10,000 minutes. If the run is long enough, give batch-means-based conf dence intervals on the steady-state expected values of the results.