Rubber Components: OEE and downtime recovery

Rubber Components | Low OEE persisted without reliable root-cause visibility

A rubber components plant improved OEE by linking downtime reasons, shift patterns, and machine behavior.

The Reality

• OEE figures were reviewed late and at aggregate level.
• Downtime reasons lacked consistent coding standards.
• Action plans were not tied to measurable closure outcomes.

The Cost

• Missed throughput plans and avoidable overtime.
• Recurring stoppages with weak preventive controls.
• Slow improvement loops due to poor data quality.

The Fix

Digitize

• Captured OEE and downtime events in real time.
• Standardized reason-code taxonomy across lines.
• Attached action owners and deadlines per recurring event.

Optimize

• Prioritized top OEE loss drivers by shift and asset.
• Measured closure quality of corrective actions.
• Created visible OEE accountability boards for line teams.

Scale

• Automated alerts for repeat downtime signatures.
• Enabled predictive hints for vulnerable assets.
• Expanded same OEE governance to all production cells.

The Result

Before: OEE tracking was backward-looking and hard to act on.

After: Downtime response became structured and OEE improvement sustained.

Digitize what you have. Optimize what you can see. Scale what you have earned.