Category: Uncategorized

Match the metric with it’s strategy

Which part of the RAM RMA plan would you most likely see the use of digital twins?

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 = 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?  

Let’s switch gears to PBL

Matching: INCOSE concepts to PBL elements

The continuous random variable T is used to model the number of days, t, a mosquito survives after hatching.   The probability that a mosquito survives for more than t days is:

To ensure that an approved Engineering Change Order propagates automatically into updated crew maintenance procedures without manual re-entry, which artifact must be the configuration-controlled ASOT across contractors?

Hypothetical situation: During Test & Evaluation, a deficiency is discovered. How should that flow work to minimize error?

Risk Sensitivity Index – A team runs a Monte Carlo simulation on failure risk for a missile guidance subsystem. The model outputs an estimated risk of failure of 0.0023 with a 95% confidence interval of ±0.0008. What are the lower and upper bounds of the 95% confidence interval? Is this system within a safety requirement that sets the max allowable failure rate at 0.003? [lower]  format – 4 decimals ie, 0.1234 [upper] format – 4 decimals ie, 0.1234 [yes_no]