KPI for root cause analysis

Completion code distribution for preventive maintenance

Chart with number of jobs / time / costs grouped by completion code and completion code group

Looking at Completion code distribution for preventive maintenance helps you to improve your preventive maintenance processes by identifying the right intensiveness and level of preventive maintenance.

Needed Data:

Completion code

Site-Object

Follow-up jobs (if applicable)

Calculation:

Relevant for:

Tracked for:

Site-Objects

Calculation based on:

Completion codes
In MaintMaster:
Configured by user

Completion code distribution for corrective maintenance

Chart with number of jobs / time / costs grouped by completion code and completion code group

Looking at Completion code distribution for corrective maintenance is the data you need to look at in order to find the root causes for your corrective maintenance. This is the necessary first step to start the improvement maintenance processes.

Needed data:

Completion Code

Site-Object

Follow-up job (if applicable)

Calculation:

Relevant for:

Tracked for:

Site-objects

Calculation based on:

Completion code
In MaintMaster:
Configured by user

Root cause analysis “Completion code distribution for corrective maintenance helps to group the root cause of corrective maintenance tasks.

Examples of completion codes are handling, insufficient maintenance, wear-out failure and others
One of the most complicated completion code is handling. It indicates, that someone operating the machine slipped up resulting in a failure.
Often, maintenance technicians don’t want to point their finger at an operator but rather use another completion code to mask the real cause of the breakdown.
Therefore, the culture of the company has to allow for mistakes and errors and always seek to encourage people to learn from their mistakes rather than feel guilty and take the blame.
I have never seen an operator that breaks a machine for fun or just because they want to. Therefore, we can assume they actually want to work in the right way.

Sometimes, the root cause analysis is not only limited to finding a technical problem with a machine but also finding out what caused people to mishandling a machine.

Fixing this doesn’t require huge investments – it’s about spreading knowledge, maintaining documents and educating each other but most importantly: being open and not blame each other when mistakes are made!”

 

 

 

Download the KPI Manual: