Using MTBF and MTTR to Drive Improvement
MTBF and MTTR are common metrics manufacturers use to align maintenance activity to production activity, thereby increasing uptime and manufacturing capacity. Using Informance, manufacturers can quickly and accurately calculate MTBF and MTTR, which allows them to better plan out their preventive maintenance activities.
MTBF = Mean Time Between Failures
To calculate MTBF, use this formula:
MTBF = Total uptime for a period of time / number of stops during the same period
In other words, MTBF is the average time between downtime periods. For example, if during a week of production you have 30 hours of uptime and 10 stops then the MTBF would be 30 / 10 = 3 hours.
MTTR = Mean Time to Repair
To calculate MTTR, use this formula:
MTTR = Total downtime for the same period as used for MTBF / number of stops
Put simply, MTTR is the average time of a failure. For example, if during a week of production you have 10 hours of downtime and 10 stops then the MTTR would be 10 / 10 = 1 hour.
Please note that it is possible to use the median instead of the mean when calculating these numbers. The median is the middle number in an ordered set of numbers. Using the median is beneficial because it eliminates any possible skew due to extreme numbers on either end of the distribution.
Driving Improvement
Informance provides the following statistics, which can be used in Enterprise Asset Management applications:
- MTBF
- MTTR
- Mean/Median KPIs
- Average time of Failure
- Median Time of Failure
- Average Time between same Failure
- Median Time Between same Failure
- Rhythm index
These numbers can improve maintenance and reliability efforts by:
- Aligning maintenance activity to production activity
- Integrating to EAM for usage-based PM activity
- Providing closed-loop root case analysis
- Utilizing predictive maintenance technique with alert capabilities
Use Case #1 - Integrating MTBF KPI's with asset management systems

All Informance analytics can be filtered and then exported as XML data for use with other solutions. This means our data will work with applications from MRO Software, Oracle, SAP, etc.
Use Case #2 - Using MTBF to set alert frequencies to address problems sooner

Once you have an accurate measure of your plant's MTBF, you can use it to set alerts notifying when preventive maintenance should be done. As a result, problems are fixed and downtime is prevented before they occur.
Use Case #3 - Setting usage based preventive maintenance activity vs. calendar based activity

As this chart of real data shows, downtime can vary from month to month. Therefore using calendar based preventive maintenance would not be as effective as using usage based. With Informance you can calculate MTBF on the fly to get the most representative number for the time period you are analyzing. This allows you to adjust your preventive maintenance activities accordingly.
Results from Improving MTBF
By focusing on improving MTBF, a plant we analyzed was able to increase it by 22% in two months.

This led to a 15 point improvement in OEE.
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