Most continuous improvement teams manage the metric instead of the loss mechanism behind it.
OEE provides a useful high-level signal, but a single percentage can conceal where capacity is actually being lost. Traditional downtime reporting creates another blind spot by treating an equipment outage as one event—masking delays in detection, response, diagnosis, parts, repair, testing, and ramp-up.
This executive-grade Lean training module teaches practitioners to move beyond the metric and follow the complete diagnostic chain:
Metric → Loss → Time → Cause → Countermeasure → Control
Key Frameworks & Concepts:
• EE Decomposition & Loss Tree: Break OEE into Availability, Performance, and Quality losses to identify where improvement effort should be focused.
• Frequency vs. Duration: Separate failure frequency from restoration time to distinguish reliability opportunities from maintainability and TTMR opportunities.
• Hidden Recovery Timeline: Decompose total downtime to expose detection, response, diagnosis, logistics, repair, testing, and ramp-up delays that conventional reporting often misses.
• 6-Step Diagnostic Simulation: Analyze a realistic Packaging Line 4 case using CMMS stratification, Pareto analysis, 5 Whys, countermeasure development, and a 90-day performance scoreboard.
• Financial Translation: Convert recovered operating time into production capacity, units, revenue, and contribution margin while recognizing capacity-versus-demand constraints.
Designed for management consultants, Lean Six Sigma practitioners, reliability engineers, maintenance leaders, and plant managers, this turnkey training deck provides a practical method for moving from OEE reporting to root-cause-based capacity improvement.
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Source: Best Practices in Operational Excellence, Manufacturing PowerPoint Slides: OEE Improvement: Downtime Recovery Framework PowerPoint (PPTX) Presentation Slide Deck, EDS SYSTEMS
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