Problem #$6$: Supply Chain Disruption

Getting new products manufactured abroad and then delivered $to$ their final destination $in$ the USA can $be$ a challenging task. One $US$ Company was tired $of$ getting hit with product delays and associated financial cost$\frac{s}{p}$enalties. $As$ a result, they culled through their individual records $on(1)$ their foreign manufacturer, $(2)$ their international delivery company, and $(3)$ their domestic delivery company. All three had contributed $to$ product delays $at$ various times $in$ the past.

After looking $at$ historical data $on$ actual cases, they discovered the following delays had been observed $(relativeto$ promised times$).$

After looking $at$ historical data $on$ actual cases, they discovered the following $cos\frac{t}{f}$inancial penalty had been observed $(\frac{\text{\$}}{d}ay).$ Obviously, longer delays are increasingly unfavorable, $as$ reflected $in$ the following escalating $$-$penalty structure.

For example, a delay $of6$ days incurs $a$$$3,300$ penalty, while a delay $of36$ days incurs $a$ $$30,600$ penalty.

For each simulated event, generate a unique random #$.$ And, assume $1$ Week $=1$ Calendar Week $(7$ days$),$ not $1$ Business Week $(5$ days$).$

$a$