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Production Management

OEE Tracking Sheet (Overall Equipment Effectiveness)

Measure equipment productivity through availability, performance, and quality metrics.

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About this template

The OEE (Overall Equipment Effectiveness) Tracking Sheet is the gold standard metric for measuring manufacturing productivity, combining availability, performance, and quality into a single percentage. OEE provides a clear picture of how effectively equipment is running, identifying the six big losses: breakdowns, setup/adjustments, small stops, reduced speed, startup defects, and production defects. This template guides users through calculating each OEE component and highlights improvement opportunities. World-class OEE is 85%, but most manufacturers operate in the 40-60% range, representing enormous improvement potential. Tracking OEE focuses improvement efforts on the most impactful areas.

01

Key features

  • Availability calculation (actual runtime vs. planned production)
  • Performance measurement (actual vs. ideal cycle time)
  • Quality factor (good parts vs. total parts produced)
  • Overall OEE calculation and trend tracking
  • Six big losses categorization and analysis
  • Shift-by-shift comparison and benchmarking
02

How to use it

  1. Record planned production time and all downtime events
  2. Document total parts produced and target cycle time
  3. Count good parts and defective/reworked parts
  4. Calculate Availability = (Operating Time - Downtime) / Operating Time
  5. Calculate Performance = Actual Output / (Operating Time / Ideal Cycle Time)
  6. Calculate Quality = Good Parts / Total Parts, then multiply all three for OEE
03

Ideal for

  • Production managers measuring equipment effectiveness
  • TPM coordinators tracking productivity improvement
  • Operations supervisors identifying bottlenecks
  • Lean teams eliminating production waste
04

Common uses

  • Establishing baseline equipment performance before improvements
  • Tracking OEE trends to measure continuous improvement
  • Identifying biggest losses for focused improvement projects
  • Benchmarking performance across multiple production lines

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