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Maintenance KPI - Calculating MTBF u0026 MDT (Mean Time Between Failures u0026 Mean Downtime) in Power BI

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Jason Davidson

In this video, you'll learn how to calculate the MTBF (Mean Time Between Failures) and MDT (Mean Downtime) in Power BI.

This is the first in a series of videos exploring the subject of reliability and availability calculations in Power BI.

This video focuses on MTBF and MDT for a machine that is continually running. The data we have for the machines is a table of all the downtime events, both planned and unplanned (breakdowns).

You'll learn how to create the calculated columns and measures required to calculate the MTBF and MDF.

Tip: This is a longer video so why not try increasing the playback speed to save time. Research has shown that this can speed up your learning! You'd be surprised how well it works!


⏩ Video Navigation

00:00 Definitions
02:48 Data Set and Model
04:05 Building in Power BI Shift Definition
06.38 Downtime Event Length Calculated Column
10:10 Action Running Time Measure
13:40 Building up the calculations
14:25 Number of unplanned downtime events
15:15 MTFB (Hours) measure
16:10 MDT (Hours) measure
18:45 Summary of results


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Resources

Access to the source PBIX files for my YouTube videos:
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Article series on creating a maintenance management system data model and how to address the human factors of data collection for improved data quality. (This is not just relevant to maintenance and reliability data).
https://effectivedashboards.com/data...

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