Sin categoría
MTBF (Mean Time Between Failures) e MTTR (Mean Time To Repair) são dois indicadores fundamentais para medir a confiabilidade e a manutenibilidade de sistemas industriais, equipamentos de teste e linhas de produção automatizadas.

MTBF (Mean Time Between Failures) and MTTR (Mean Time To Repair) are two fundamental indicators for measuring the reliability and maintainability of industrial systems, test equipment, and automated production lines.

They help to quantify the performance and robustness of a technical solution, revealing not only the frequency of failures but also how long it takes to get the system back into operation.

📊 What is MTBF?

MTBF – Mean Time Between Failures
Represents the average time that equipment or a system operates correctly without failures.

Formula:

[ text{MTBF (h)} = frac{text{Total operating time (h)}}{text{Number of failures}} ]

Application:

  • Test benches
  • Production equipment
  • Programmable power supplies, relays, actuators, industrial computers
  • Critical embedded systems (RF, communication, automation)

The higher the MTBF, the more reliable the system.

🛠️ What is MTTR?

MTTR – Mean Time To Repair
Indicates the average time needed to restore equipment after a failure, including diagnosis, part replacement, reconfiguration, and verification.

Formula:

[ text{MTTR (h)} = frac{text{Total repair time (h)}}{text{Number of failures}}]

The lower the MTTR, the faster and more efficient the maintenance process.

Why measure MTBF and MTTR?

  • Evaluate the robustness of a system or test architecture
  • Identify components with recurring failures
  • Optimize preventive and predictive maintenance
  • Justify replacements of critical equipment
  • Improve line uptime (OEE)
  • Ensure reliability in regulated environments (automotive, aerospace, medical)

How AJOLLY Testing applies MTBF and MTTR

AJOLLY Testing designs systems focused on reliability and offers tools to monitor failures in real-time and automatically calculate indicators:

🧩 Automatic failure logging

  • Software logs each failure with timestamp, operator, station, and serial number
  • Categorization of failure type (electrical, software, mechanical, network…)
  • Exportable logs to Power BI, Excel, or integration with MES

📈 Dashboards with MTBF and MTTR

  • Visualization by equipment, station, or component type
  • Alerts when minimum values are reached
  • Comparison between benches or production lines

🧰 Maintenance optimization

  • Failure reports with probable cause and correction time
  • Support for defining predictive maintenance plans
  • Continuous improvement in jig architecture and design

Practical example:

  • A test bench shows 3 failures in 600 hours of operation
    → MTBF = 600 / 3 = 200 hours
  • The total repair time was 6 hours
    → MTTR = 6 / 3 = 2 hours

Interpretation: the bench is reliable (high MTBF) and has good maintainability (low MTTR).