Starting Point: Room for Improvement Even at High Performance
The automotive sector has a strong production culture that is never satisfied with the performance it has reached and always looks for better. That is why even small-looking equipment losses represent a major improvement opportunity.
At the start of the project, machine availability stood at 83%. Despite existing maintenance activities, the systematic approach needed to reduce planned and unplanned downtime was not strong enough. The main areas for improvement were:
- Recurring downtime: Equipment stoppages kept recurring and the preventive maintenance system had gaps.
- Limited use of predictive maintenance: Predictive maintenance practices were not used effectively enough, and the maintenance skills of technical teams needed to be developed.
- Unclear responsibilities: Autonomous maintenance checks were not performed to a standard, responsibilities between production and maintenance teams were not clear enough, and critical check points were not followed regularly.
Approach: Preventing Failures Before They Occur
The core need was not just to respond to failures faster, but to build a maintenance system that could prevent them before they occurred. With the TPM approach, planned maintenance, autonomous maintenance and technical skills were addressed together:
- Equipment losses and downtime causes were analyzed.
- Predictive and preventive maintenance systems were re-evaluated; planned maintenance activities were arranged according to equipment needs.
- Technical training and on-the-job practice were carried out again.
- Daily autonomous maintenance responsibilities of production teams were defined.
- Critical equipment check points were standardized and followed regularly.
- A shared sense of equipment ownership was developed between production and maintenance teams.

Result: The Transformation Scorecard
At the end of the six-month transformation, machine availability rose from 83% to 91.2%, an increase of 8.2 points, or about 10% in relative terms. The results were achieved by improving the reliability of existing machines before any new equipment investment.
| Parameter | Before | After | Improvement |
|---|---|---|---|
| Machine availability | 83% | 91.2% | +8.2 pts (≈10%) |
| Equipment downtime | Baseline | Reduced | Less downtime |
| Maintenance system | Incomplete | Preventive and predictive | Strengthened |
| Autonomous maintenance checks | Not standardized | Daily, standardized | Disciplined follow-up |
If you experience recurring equipment failures, unplanned downtime or low machine availability in your plant, let us assess the improvement opportunities together.

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