The quality loss function is one of the tools of the Six Sigma methodology. The function assigns a cost to an observed value, that is larger as far as it is from the target.

ss.lf(lfa.Y1, lfa.Delta, lfa.Y0, lfa.L0)

Arguments

lfa.Y1

The observed value of the CTQ (critical to quality) characteristic that will be evaluated.

lfa.Delta

The tolerance for the CTQ.

lfa.Y0

The target for the CTQ.

lfa.L0

The cost of poor quality when the characteristic is \(Y_0 + \Delta\).

Value

ss.lf

A number with the evaluated function at \(Y_1\)

References

Taguchi G, Chowdhury S,Wu Y (2005) Taguchi's quality engineering handbook. John Wiley

Cano, Emilio L., Moguerza, Javier M. and Redchuk, Andres. 2012. Six Sigma with R. Statistical Engineering for Process Improvement, Use R!, vol. 36. Springer, New York. https://link.springer.com/book/10.1007/978-1-4614-3652-2/.

See also

Author

EL Cano

Examples

#Example bolts: evaluate LF at 10.5 if Target=10, Tolerance=0.5, L_0=0.001
ss.lf(10.5, 0.5, 10, 0.001)
#> [1] 5e-04