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 $8-$hour shifts, $5$ 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 $($put a text box in your model reporting these output values$).$ Animate your model, including a Resource animation, and a change in the appearance of entities after they're packed into a box.

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