In many organizations people capture a lot of data and… just ignore them, wasting their potential value.
The latest case, at the moment I write this post, is with an aircraft MRO company.
This post echoes a previous one: Trouble with manual data capture
Every aircraft undergoing MRO requires a lot of mandatory paperwork for the sake of traceability. The required information is either directly captured in an IT system, either written on paper and later input into the IT systems.
As this company wants to drastically reduce the duration of the aircrafts’ grounding for MRO and improve the reliability of its planning, the primary source of information to understand the causes of the problems is the data logbook.
I could easily figure out what kind of analysis to do and the correlation to look for, as adherence to planning for example.
Alas, as I was presented the database my enthusiasm quickly faded.
Some of the data supposed to be entered into the system simply wasn’t. Of course it happen to be the most interesting data for my analysis.
Work Breakdown is not always consistent across the portfolio, which makes comparisons challenging.
Mechanics would not always report their work on the appropriate work order. Thus work order lead time to workload correlation would be flawed.
It didn’t seem to worry management as much as it worried me, not because it could compromise my analysis but because the clients would not be charged the right amount (hours spent on an aircraft are billed).
According to data some aircrafts departed the MRO facility before they flew in. An indication of the lack of rigorous tracking as well as a lack in the software’s input trustworthiness checking.
And the list of flaws goes on.
A bit troublesome in a business boasting about safety by the way.
The pity is, as so often, that companies allocate resources to capture data and just ignore them. It would just require a little extra energy and rigor to exploit the data and use them to monitor, drive and improve their business.
Instead of that, just accumulating the data without exploitation is nothing more than wasting its value.Follow @HOHMANN_Chris