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Process Improvement
Brandon Smith3 min read
Split view of equipment blueprint analysis and engineer monitoring OEE metrics on a bottling production line

A facility calculates OEE at 68%: Availability 85%, Performance 88%, Quality 91%. The result is disappointing but not surprising—the facility has chronic downtime, occasional speed losses, and occasional quality issues.

The question: Which should they fix first? All three problems need attention, but capital is limited and management attention is finite.

The answer requires analyzing which component will deliver the biggest impact.

The OEE Breakdown and Impact Analysis

Availability Loss (85% actual):

  • Planned downtime: CIP cleanings, equipment maintenance
  • Unplanned downtime: Equipment breakdowns, tooling failures

This facility loses 15% of available time to downtime. With production valued at $50,000/hour, downtime costs $150,000 monthly.

Performance Loss (88% actual):

  • Equipment running slower than nameplate speed
  • Changeover delays between products
  • Inefficient operator procedures

This facility runs equipment at 88% of rated speed. With 85% availability (running time), true productive time becomes 85% x 88% = 75%.

Quality Loss (91% actual):

  • Defects requiring rework
  • Products scrapped due to failure to meet specification
  • Customer rejects

This facility produces 91% conforming products, meaning 9% require rework or scrapping. At $50,000/hour production value, quality losses cost $90,000 monthly.

The Pareto Analysis: Where to Focus

Calculate monthly cost impact of each OEE component:

ComponentLoss %Monthly Downtime HoursCost ImpactPriority
Availability15%360 hours$180,0001st
Performance12%288 hours$144,0002nd
Quality9%216 hours$108,0003rd

Availability loss drives the largest financial impact. The facility should prioritize downtime reduction.

The Availability Improvement Plan (Months 1-6)

Month 1: Root Cause Analysis

  • Document all downtime events
  • Categorize by cause (equipment failure, maintenance, tooling, operator error, etc.)
  • Identify top 5 downtime drivers

Months 2-3: High-Impact Interventions

  • For equipment failures: Implement preventive maintenance program, upgrade critical components
  • For tooling failures: Upgrade tool quality, increase tool inventory
  • For operator error: Training program, procedure improvements

Cost: $20K-$40K

Expected impact: 5-8% availability improvement (50-100 hours/month recovered)

Months 4-6: Sustain and Measure

  • Monthly review of downtime data
  • Measure against baseline
  • Adjust interventions as needed

The Secondary Priority: Performance (Months 6-9)

Once availability improves to 90%+, address performance loss through:

  • Equipment speed optimization (vendor support or upgrades)
  • Changeover process improvements (SMED—Single Minute Exchange of Dies)
  • Operator training on efficient procedures

The Third Priority: Quality (Months 9-12)

Once availability and performance targets met, address quality issues through:

  • Root cause analysis of defects
  • Process parameter optimization
  • Equipment upgrades if quality issues persist

The Strategic Benefit

By sequencing improvements by impact, the facility maximizes ROI. Fixing the biggest problem first delivers the highest return per dollar invested.

For food manufacturing companies, Pareto analysis of OEE components identifies where capital and management focus will deliver maximum operational and financial improvement.