Sales: +91 70101 10805|Sales: bdo@ajinkyatechnologies.in
Ajinkya Technologies
SolutionsProductsDemosAnkastraInsightsFor IntegratorsAboutContact
Get Started
Home / Glossary / MTTR (mean time to repair)

Maintenance and reliability

What is MTTR (mean time to repair)?

MTTR is the average time to restore a failed machine to service. Formula, worked example, how MTTR and MTBF give availability, and a free MTTR calculator.

Quick answer

MTTR (mean time to repair) is the average time it takes to restore a failed machine to working order. It equals total repair time divided by the number of repairs. Lower MTTR means faster recovery. Combined with MTBF it gives inherent availability: MTBF divided by MTBF plus MTTR.

Updated 30 October 2026. Written by the Ajinkya Technologies engineering team, reviewed by Amey Kadle.

Formula

MTTR = total repair time ÷ number of repairs. Availability = MTBF ÷ (MTBF + MTTR)

Worked example: Four breakdowns took 10 hours in total to fix. MTTR = 10 ÷ 4 = 2.5 hours. With an MTBF of 180 hours, inherent availability = 180 ÷ 182.5 = 98.6%.

MTTR and availability calculator

Free and instant. Nothing is stored or sent.

From the stop to the machine running again.

Optional. Leave 0 to skip availability.

MTTR
2.5 hours
Inherent availability
98.6%

MTTR (mean time to repair) explained

Definitions of MTTR vary, so state which one you use. In maintenance it usually runs from the moment the machine stops until it is back in production, which includes noticing the stop, getting a technician there, diagnosing the fault, finding spares, repairing and testing. Some teams measure only the hands on repair time. The full version is more useful because the waiting parts are often the biggest and the easiest to cut.

Breaking MTTR into its stages shows where time goes. Response time improves with automatic alerts to the right technician. Diagnosis improves with fault history, sensor data and clear troubleshooting guides. Spares delays fall when critical parts are reserved against the asset. Repair and test time falls with standard work instructions and video SOPs at the machine.

MTTR and MTBF together define inherent availability, the share of time a machine can run when only failures and repairs are counted. Improving either one raises availability; for most plants, cutting the waiting inside MTTR is the faster win, while raising MTBF takes longer reliability work.

Key concepts

  • •Define where MTTR starts and stops
  • •Response, diagnosis, spares, repair, test
  • •Automatic alerts cut response time
  • •Video SOPs and fault history cut diagnosis
  • •Availability = MTBF ÷ (MTBF + MTTR)

Questions

Does MTTR include waiting for spare parts?

In the full definition, yes: it runs from the stop until the machine is back in service. Some teams report hands on repair time separately to see how much is waiting.

How can we reduce MTTR quickly?

Send stop alerts automatically to the right technician, keep critical spares reserved per asset, and put fault history and video work instructions at the machine through a QR code or tablet.

What is the difference between MTTR and downtime?

Downtime is the total time lost. MTTR is the average per repair, so downtime from failures is roughly the number of failures multiplied by MTTR.

References

  • ISO 14224: collection and exchange of reliability and maintenance data for equipment (opens in a new tab)
  • US Department of Energy FEMP: operations and maintenance in federal facilities (opens in a new tab)

How we help with MTTR

Our maintenance systems put QR codes on assets that open the history and video SOP on a phone, and send stop alerts to the right technician, which shortens the waiting inside MTTR.

Catch a failing bearing in the 3D demoSee the service

Interactive 3D demo with simulated data: vibration rises, the alert fires, you decide.

Go deeper

  • How do you reduce machine downtime?

Related terms

What is MTBF (mean time between failures)?MTBF (mean time between failures) is the average operating time a repairable machine runs between one failure and the next. It equals total operating time divided by the number of failures in the period. Higher MTBF means a more reliable machine. It is used with MTTR to calculate availability.What is Machine downtime?Machine downtime is any period when a machine is not producing while it is scheduled to. Unplanned downtime comes from breakdowns, material shortages or missing operators; planned downtime covers changeovers and scheduled maintenance. Its cost is the margin on parts not made plus idle labour, expediting and overtime to catch up.What is Predictive maintenance?Predictive maintenance uses live data from machines, such as vibration, temperature, motor current and oil condition, to detect developing faults and schedule repairs before a breakdown. Instead of fixing machines after they fail or servicing them on a fixed calendar, the team acts when the data shows a problem is coming.What is CMMS?A CMMS (computerized maintenance management system) is software that manages maintenance work: the asset register, work orders, preventive maintenance schedules, spare parts and maintenance history. It replaces paper job cards and spreadsheets and gives KPIs such as MTBF, MTTR and PM compliance.

Want this measured on your own line?

Tell us your process, machines and ERP. An engineer, not a salesperson, replies within 24 hours with what we would measure first.

Talk to an engineerTry the interactive demos
Ajinkya Technologies

Smart. Scalable. Secured.

A Kadle Global Pvt Ltd company

Sales: +91 70101 10805 Support: +91 73494 16661 hello@ajinkyatechnologies.in#401, 4th Floor, Shri Laxminarayan Arcade, Mahatma Phule Road, Shastri Nagar, Belagavi, Karnataka, 590003, India

Solutions

  • MES Implementation
  • Agentic AI & Industry 4.0
  • AI Predictive Maintenance
  • Manufacturing AI Agents
  • Computer Vision Quality Inspection
  • IIoT & Unified Namespace
  • Manufacturing Automation
  • Digital Transformation
  • All Solutions

Products

  • Ankastra
  • DailyGate
  • Vision AI
  • Fleet Safety

Locations

  • Belagavi
  • Bengaluru
  • Karnataka
  • Manufacturing Software India
  • Manufacturing Software USA
  • Manufacturing AI USA
  • Canada Manufacturing
  • US, Michigan Automotive
  • US, Texas Oil & Gas IIoT
  • US, Arizona Semiconductor
  • For Integrators
  • Partner rules

Company

  • Ajinkya Growth (US Small Business)
  • About Us
  • Founder, Amey Kadle
  • Case Studies
  • Insights
  • Manufacturing Answers
  • Glossary
  • Free calculators and templates
  • 3D demos
  • Traceability requirements guide
  • Blog
  • Contact
  • Customer support
  • Trust and security

Legal

  • Privacy Policy
  • Cookie Policy
  • Terms & Conditions

© 2026 Ajinkya Technologies. All rights reserved.

Part of Kadle Global Pvt Ltd. Full IP Ownership. Proprietary Technology. Made in India.

We value your privacy

Analytics cookies run only if you accept.We use cookies to make our site work and, with your consent, to measure traffic and improve the experience. You can change your choice anytime via "Cookie Settings" in the footer. Privacy Policy · Cookie Policy