Normalized Yield (NY)

Normalized Yield (NY) is the average yield per process step. The probability of a unit passing through one process step or opportunity without rework. It's the minimum Throughput Yield (TPY) for each step of the process to achieve a given Rolled Throughput Yield (RTY).

It is usually used when the TPY is not known for each step of a process but the RTY for the entire process is known. Recall, if the TDU is known, the RTY can be found and then the NY can be determined, click here to review.

Then the NY is used to assume each step of the process has the same average yield. Applying that logic can be misleading since true yields at each step can be significantly different.

Formula:

Calculating Normalized Yield

where k equals the number of processes.

A calculation using example from above:

Yield visual example



Calculation:

Using k = 3

NY = 0.475^(1/3)

NY = 0.780 = 78.0%

There is a 78% chance of a unit passing through one process step without rework.

Another relationship is shown below to obtain the normalized defects per unit.



The normalized defects per unit equals 0.2481.

Normalized Yield and other yield metrics can serve as baseline scores (Measure Phase) and final scores for Six Sigma projects (Control Phase).

The baseline score does not have to be a z-score and often these yield metrics are easier for team and other company employees to relate with and understand.




Other Process Yield Metrics

FY - Final Yield

TPY - Throughput Yield

RTY - Rolled Throughput Yield




Return to BASELINE MEASUREMENTS

Return to the MEASURE phase

Search active Six Sigma related job openings

Return to the Six-Sigma-Material HOME PAGE



Click for a Password´╗┐


Six Sigma
Templates & Calculators
$14.95 USD



Six Sigma Modules

The following presentations are available to download

Click Here

Green Belt Program 1,000+ Slides
Basic Statistics
SPC
Process Mapping
Capability Studies
MSA
Cause & Effect Matrix
FMEA
Multivariate Analysis
Central Limit Theorem
Confidence Intervals
Hypothesis Testing
T Tests
1-Way Anova Test
Chi-Square Test
Correlation and Regression
SMED
Control Plan


Six Sigma & Lean  Courses

Agile & Scrum Online Course