Parts arrive at a single machine system according to an exponential interarrival distribution with mean $20$ minutes; the first part arrives at time $0.$ Upon arrival, the parts are processed at a machine. The processing$-$time distribution is TRIA$(11,16,18)$ minutes. The parts are inspected and for each part there is a $0\mathrm{.}24$ probability that it will need to be sent back to the same machine to be reprocessed $($same processing$-$time distribution but a fresh draw from it$,$ and all send$-$back decisions are independent of each other$).$ There$$s no limit on how many times a given part might have to go through the machine for processing$/$reprocessing$.$ Run the simulation for a single replication of length $20,000$ minutes to observe the average and maximum number of times a part is processed, the average number of parts in the machine queue, and the average part cycle time $($time from a part$$s entry to the system to its exit after however many passes through the machine system are required$).$ Add an appropriate Resource animation. Model the following system separately using ARENA software. Run the system as required and generate the output. Present the output with proper comments.