Two part types arrive to a three$-$workstation system. Part type $1$ arrives according to an exponential distribution with interarrival$-$time mean $5($all times are in minutes$)$; the fi rst arrival is at time $0.$ This part type is fi rst processed at workstation $1$ and then workstation $2.$ Its processing time at workstation $1$ follows a triangular distribution with minimum $2,$ mode $2\mathrm{.}5,$ and maximum $4.$ Its processing time at workstation $2$ follows a triangular distribution with minimum $3,$ mode $4\mathrm{.}5,$ and maximum $7.$ Part type $2$ arrives according to an exponential distribution with interarrival$-$time mean $7$; the fi rst arrival is at time $0.$ This part type is fi rst processed at workstation $1$ and then workstation $3.$ Its processing time at workstation $1$ follows the same distribution as does part type $1$ at workstation $1.$ Its processing time at workstation $3$ follows a triangular distribution with minimum $3,$ mode $6\mathrm{.}8,$ and maximum $8.$ Run your simulation for a single replication of $2,000$ minutes and observe the average and maximum time in system for each part type separately; put a text box in your model with your results. Can you the scheme and all the steps on arena simulation software?