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!
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⏩ Video Navigation
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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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🎥 Related Videos
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Maintenance KPI - Calculating MTBF & MDT (Mean Time Between Failures and Mean Downtime) in Power BI
https://youtu.be/PRVPyp0tmn8
Why You Need a 'Dates' Table in Power BI and How to Create One -
https://youtu.be/exq8AVNCHTY
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🎓 Power BI Dashboard Training
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👉FREE Power BI Quick Start Course - Learn how to create your first dashboard in around 90 minutes!
https://effectivedashboards.com/power-bi-quick-start-create-a-pbi-dashboard-in-90-minutes/
👉 Power BI Quick Start PLUS - Learn how to craft KPI management dashboards that really do help you, your boss, and your peers make better decisions!
https://effectivedashboards.com/power-bi-quick-start-plus/
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📁 Resources
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👉Access to the source PBIX files for my YouTube videos:
https://effectivedashboards.com/courses/free-resources/
👉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-articles/