Improved OEE from <25% to >50% on a Critical Filling Line

Results Snapshot

OEE Improvement

<25% → >50%

Project Duration

6 months

Primary Gain

Downtime Visibility

Challenge

The line suffered from frequent short stops, unclear root causes, and no reliable baseline for availability, performance, and quality losses. Manual reporting was inconsistent across shifts.

Approach

  • Installed IoT data capture on the filling line to establish an accurate OEE baseline.
  • Coded downtime events with standardized reason taxonomy across all shifts.
  • Introduced daily and weekly performance reviews focused on the Six Big Losses.
  • Aligned production, maintenance, and planning teams around shared real-time dashboards.

Outcomes

  • Sustained OEE improvement to above 50% within six months.
  • Clear identification of top recurring losses and bottlenecks.
  • Shift accountability significantly improved through transparent performance tracking.
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