I found the percentage loss of each per the total each loss contributing to the total loss
(1-A) (1-A*P*Q)
---------------- x
((1-A)+(1-P)+(1-Q))
percentage loss per the total contributing losses ratio multiplied by the OEE loss will get me the OEE loss per loss, I think
It is pretty abstract to me still.
if that is correct, then I think my simplest form is:
my selects are huge for this in my query, but I think I am getting them in a tenth of a second
Without knowing your ins and outs that doesn’t discredit it.
For example, if I have a good run with good operators who finish earlier than standard generous estimated time. I would hope it would be over 100%. In fact it might bother me if it wasn’t.
could be something off in the math, or too generous on some inputs possibly,. The formula seems pretty solid to me though.
If you tell 1000 people to use the "total count", then your responses will vary too much, because total count is not a real thing, it is an abstract of a thing.
Where actual number of units started is a tangible thing, a singular thing of measurable quality that is countable.
Total count could mean:
Outfeed counts plus infeed
Outfeed plus scrap
Outfeed, scrap, and infeed
Where actual number of units started is very specific, and not abstract.