Question: Problem 6 . A part arrives at a four - machine system according to an exponential interarrival distribution with a mean of 1 0 minutes.

Problem 6. A part arrives at a four-machine system according to an exponential interarrival distribution with a mean of 10 minutes. The four machines are all different and there's only one of each; the first part arrives at time0. 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 Type%Machine /Machine /Machine /Process TimeProcess TimeProcess TimePart 1122310.5,11.9,13.27.1,8.5,9.86.7,8.8,10.1Machine /Process Time46,8.9,10.3Part 214317.3,8.6,10.15.4,7.2,11.39.6,11.4,15.3Part 331418.7,9.9,128.6,10.3,12.810.3,12.4,14.8Part 4243417.9,9.4,10.97.6,8.9,10.36.5,8.3,9.78.4,9.7,1126.7,7.8,9.4Part 5194125.6,7.1,8.88.1,9.4,11.79.1,10.7,12.8Assume that the transfer time between arrival and the first machine, between all machines, and between the last machine and the system follows a triangular distribution with parameters 8,10, and 12(minutes). Use the Sequence feature to direct the parts through the system and to assign the processing times at each station.Collect cycle times (total times in the system) for each of the part types separately. Animate your model (including the part transfers) and simulate it for 10,000 minutes.

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