Quality loss function
The quality loss function models quality cost as rising with the square of any deviation from the target specification, L = k(x − T)², not only once a unit falls outside a tolerance limit.
FrameworkTaguchi methods
What it is
See it move
A component's target diameter is 50 mm, with a known cost of €18 for a 3 mm deviation, fixing k at €18 ÷ 3² = €2 per mm². A 1 mm deviation still costs €2 × 1² = €2, and a 2 mm deviation costs €2 × 2² = €8 — four times as much for only double the deviation, because the relationship is squared.
The formula
Variables
- Quality loss per unit (€)
- Cost coefficient (€/mm²)
- Actual measured value (mm)
- Target value (mm)
Estimates the cost of a unit's deviation from its exact target specification, growing with the square of the deviation.
Variables
- Known loss at the reference deviation (€)
- Reference deviation from target (mm)
Calibrates k from one observed data point — a known rework or failure cost at a known deviation from target.