Computes the Yield, First Time Yield, Rolled Throughput Yield and Defects per Million Opportunities of a process.

ss.ca.yield(defects = 0, rework = 0, opportunities = 1)

Arguments

defects

A vector with the number of defects in each product/batch, ...

rework

A vector with the number of items/parts reworked

opportunities

A numeric value with the size or length of the product/batch

Value

Yield

Number of good stuff / Total items

FTY

(Total - scrap - rework) / Total

RTY

prod(FTY)

DPMO

Defects per Million Opportunities

Details

The arguments defects and rework must have the same length.

References

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/.

Gygi C, DeCarlo N, Williams B (2005) Six sigma for dummies. --For dummies, Wiley Pub.

Author

Emilio L. Cano

Examples

ss.ca.yield(c(3,5,12),c(1,2,4),1915)
#>       Yield       FTY       RTY DPU     DPMO
#> 1 0.9895561 0.9859008 0.9859563  20 10443.86