by veeralpatel979 on 3/31/20, 6:46 AM with 12 comments
by mathie25 on 3/31/20, 1:15 PM
Additional interesting ressources: - Implementing Enterprise Risk Management by James Lam https://www.amazon.ca/Implementing-Enterprise-Risk-Managemen... - Protivi Guide to Enterprise Risk Management https://www.protiviti.com/sites/default/files/protivitierm_f...
by rubidium on 3/31/20, 10:24 AM
But they’ve kinda just recreated a simplified traditional DFMEA... with some questionable choices on process and math.
Odd that they didn’t reference p/DFMEA or what failures they saw with that approach. Normally you’d model the risk of failure with a weibell curve. The Monte Carlo approach they use is ok but assumes all risks are equally weighted in time for a distribution. You then look at pre-mitigation and post mitigation risk to determine which actions to take.
That said, maybe they’ve never heard of the traditional dfmea process? Unlikely I would hope but possible.
by DyslexicAtheist on 3/31/20, 3:47 PM
Taleb books: https://www.amazon.com/Nassim-Nicholas-Taleb/e/B000APVZ7W
also the USCSB youtube channel has post-mortems on industrial engineering accidents and disasters which I find really insightful https://www.youtube.com/channel/UCXIkr0SRTnZO4_QpZozvCCA
any books / resources about a) complexity and b) D/FMEA!
also avoid clueless academics and Steven Pinker or anyone invited to Davos/WEE like the plague!
by bobm_kite9 on 3/31/20, 6:10 PM
by kriro on 3/31/20, 2:59 PM
Nitpicky...but...
Shouldn't risk always be quantified? I thought that's what sets it apart from uncertainty. Also I'd argue that "critical", "hight" etc. is also quantification (ordinal scale). I guess the argument is that it should be quantified on a nominal scale?
That being said, love the list :)