What is MTTR?
Mean Time to Repair (MTTR) is a maintenance metric that measures the average time it takes to troubleshoot and repair faulty equipment. It reflects how quickly an organization can respond to unplanned incidents and fix them.
MTTR calculates the time from the start of the incident to the time the system returns to production. This takes into account the time to:
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- Notice to technician
- Diagnose the problem
- Troubleshoot
- Let the device cool down
- Reassemble, align and calibrate
- Set up, test and launch to production
This metric does not take into account lead time for parts.
How to calculate MTTR
The MTTR formula is calculated by dividing the total unplanned maintenance time spent on a machine by the total number of failures that machine has experienced during a specific time period. Average time to repair is usually expressed in hours.
The calculation of MTTR is assumed that:
- The tasks are executed sequentially
- Tasks to be performed by appropriately trained personnel
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For example, if you spent 50 hours on unplanned maintenance on a property that failed 8 times over the course of a year, the average time to repair would be 6.25 hours.
Sometimes MTTR also depends on a number of factors, like the type of asset, its severity, and its age. However, the average MTTR should be less than 5 hours.
How is MTTR used?
Long service life on critical equipment means scraps, missed orders and damaged business relationships and reputation, MTTR helps organizations identify why maintenance might be take longer than ideal and make more informed decisions to fix the underlying causes.
What does MTTR mean for maintenance?
Conducting an MTTR analysis can provide insights into how your maintenance operations purchase equipment, schedule maintenance, and complete tasks. Ultimately, MTTR helps your organization wipe out any inefficiencies that are causing lost production and the money lost with it.
Decision to repair or replace
MTTR can be used to make repair or replacement decisions on older properties. If a property takes longer to repair as it ages, it can be more economical to replace it. MTTR can also be used to inform the purchasing and design process by predicting the life cycle costs of new systems.
Plan preventive maintenance
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Monitoring MTTR also helps ensure a preventive maintenance program (preventive maintenance) and your PM tasks as efficiently and effectively as possible. Although MTTR measures reactive maintenance (reactive maintenance), assets that take longer to repair may have PMs associated with them that do not perform well. Average time to repair is a gateway to the root cause of the problem and provides a path to a solution.
For example, if MTTR is increasing, it may be because PM is not normalized, leading to more device failures.
MRO . inventory planning and purchasing
Longer-than-normal repair times could be a sign that your parts strategy isn't working. Disorganized stocking and spare parts have a huge effect on delayed work. According to this report, about 50% of all unscheduled downtime can be related to a lack of spare parts. Between 10% and 25% of a technician's time is spent searching for hard-to-find parts.
If you regularly see longer MTTRs on certain assets, plant parts, or facilities, you should investigate whether parts are the reason. Check if critical parts are long tested, if they are defective or they are mislabeled. You can also check out this tool that will help you forecast exactly what parts you'll need for your upcoming work (including reactive work!) so you never end up in this situation again.
Your Business and MTTR
Mean time to repair is a tool for assessing the quality of a facility's maintenance procedures and practices. It can also be used to investigate the value and performance of assets so that an organization can make smarter decisions about asset management. MTTR is the starting point to evaluate efficiency and eliminate redundancies, roadblocks, and maintenance confusion so a business can avoid unnecessary downtime and get back to the best. – production and sale of goods.
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