Case #$1$Parts arrive at a single machine system according to an exponential interarrival distribution with mean $20$ minutes; the fi rst 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 howevermany passes through the machine system are required$).$ Add an appropriate Resource animation.Case #$2$Items arrive from an inventory$-$picking system according to an exponential interarrival distribution with mean $1\mathrm{.}1($all times are in minutes$),$ with the fi rst arrival at time $0.$Upon arrival, the items are packed by one of four identical packers, with a single queue $$feeding$$ all four packers. The packing time is TRIA$(2\mathrm{.}75,3\mathrm{.}3,4\mathrm{.}0).$ Packed boxes are then separated by type $($each box has an independent probability of $0\mathrm{.}2$ of being international, and the rest are domestic$),$ and sent to shipping. There is a single shipper for international packages and two shippers for domestic packages with a single queue feeding the two domestic shippers. The international shipping time is TRIA$(2\mathrm{.}2,3\mathrm{.}3,4\mathrm{.}8),$ and the domestic shipping time is TRIA$(1\mathrm{.}7,2\mathrm{.}0,2\mathrm{.}7).$ This packing system works three $8-$hourshifts, $5$ days a week. All the packers and shippers are given a $15-$minute break $2$ hours into their shift, a $30-$minute lunch break $4$ hours into their shift, and a second $15-$minute break $6$ hours into their shift; use the Wait Schedule Rule. Run the simulation for a single replication of $2$ weeks $(10$ working days$)$ to determine the average and maximum number of items or boxes in each of the three queues $($puta text box in your model reporting these output values$).$ Animate your model, including a Resourceanimation, and a change in the appearance of entities after they$$re packed into a box.The reports due on $28$thof November at $17\mathrm{.}00.$Submit the Hardcopy of your report and the softcopy of your ARENA modelsto Lab Assistant.