OEE Loss Prioritizer
Rank availability, performance, and quality loss by real dollar value using the OEE waterfall, not a flat-percent comparison that can pick the wrong priority.
Loss waterfall
Continue Analysis
Based on your results, these related decisions are available.
How this works
The three OEE loss categories, availability, performance, and quality, are sequential, not parallel. Availability loss removes hours before performance loss ever applies, and performance loss removes hours before quality loss applies. Each loss is calculated against the hours surviving the losses ahead of it, not the full planned-hours figure.
Key terms
- OEE waterfall: the standard order losses apply in, availability first, then performance, then quality, each against its own shrinking base.
- Loss priority: the loss category with the highest dollar value, not the highest percentage.
Assumptions
- Losses apply sequentially in the standard OEE order
Limitations
- Single-period snapshot, does not model loss-category interactions beyond the standard waterfall
Sources
Standard OEE (Overall Equipment Effectiveness) waterfall methodology.
Worked example
A flat-percent check against the full 2,000 planned hours reads quality loss as the biggest problem (560 hours). The correct waterfall calculation, each loss against its own shrunk base, gives availability 200 hours, performance 450 hours, quality 378 hours, flipping the priority to performance, not quality.
Common use cases
- Deciding which OEE loss category to attack first in an improvement program
- Avoiding a flat-percent ranking that misdirects improvement effort
- Quantifying the dollar value at stake in each loss category
Frequently asked
- Why rank losses instead of just reporting an OEE percentage?
- A single OEE percentage hides which of availability, performance, or quality loss is actually costing the most; ranking them by real dollar value tells you where improvement effort actually pays off.
- What is the correct OEE waterfall mentioned here?
- It applies availability loss, then performance loss, then quality loss in the correct sequential order against the prior stage's output, avoiding the common error of treating all three losses as independent percentages of the original total.
- Can two loss categories be close in value?
- Yes, and when they are, the ranking is still useful context, but either may be worth addressing first depending on which has a cheaper or faster fix available.
- Does improving the top-ranked loss guarantee the biggest OEE gain?
- It reflects the biggest dollar value under current conditions; a full fix may not be equally easy or equally cheap across categories, so ranking is a prioritization input, not the whole decision.