If the LSA-R later updates the failure rate to 0.006 failure…

If the LSA-R later updates the failure rate to 0.006 failures per hour from new field data, re-compute the previous part  –  n=2 staged spares, compute the probability of no stockout during the mission –   Solution is a percentage, round to 2 decimals (ie, 45.67)  

Now, let’s apply stats/PDF/CDF to LSA & LSA-R logistics LRU…

Now, let’s apply stats/PDF/CDF to LSA & LSA-R logistics LRU = Line Replaceable Unit   An LRU required for a 100-hour mission has a constant failure rate of 0.01 failures per hour (so MTBF = 100 hours).   Per the LSA-R, (for simplicity) maintenance swaps are immediate and do not consume mission time. You position/stage (keep) n spares of this LRU at the point of use before the mission starts (so replacements are immediately available)   Let N be the number of LRU failures during the mission.  What distribution models N?