RCM Study Size

Before starting a RCM quality check, it is good to check the size of the study.
The size of a RCM study relates to the number of Plants, Units, Flocs and Equipment involved.
On an RCM study one needs to verify: 'How big is the box'?

Below overview can be used to get this insight:

Form this overview, it is nex of intrest what RCM analyses are done.
This can be seen by the #FM's in the Floc grid and Equipment grid:

This grid also provides info that RSL's are used.
Export of the grid enables analyses of the #FM's per Location type, for instance by creating a Pivot table in Excel:

This pivot table shows a set of 139.790 Flocs in the tool, where 129,599 do not have a FM while 10,191 FLocs do have one or more FM's.

This can be further split up in FM's origination form an RSL or basic RCM analyses:

Above left table shows that 1403 Flocs do have FM's orginating from RSL's and the right table shows 8788 Flocs have FM's from RCM analyses.
Additionally, insight is given how this works out for the various location types.
Next to looking at FLocs, same analyses should involve data from Equipment also, providing insight at which hierarchy level the analyses are done.

Insight in the number of FM's gives an idea on the depth of FM determination per object type. This data can help to make an estimate on how many FM's are expected to be involved in a future RCM study and how much time the study may take - per discipline.

This enable to show a column with the overall sum of FM's:

Above picture shows that 10k Flocs have roughly 15k of FM's,
an average of 1.5 FM/Floc and
a maximum of 4.2 FM/Floc for Analysers.

Above data gives insight in the size, scope and granularity,
next its relevant to look at the anayses quality.