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The following Advanced features are available.

Advanced  Description
PCC   Process Capability Calculations
GRR  Gauge Repeatability & Reproducibility
PCA  Partial Component Analysis 
NSQC  Nested SQC Charts
Online  Online Version Setup

Nested SQC Charts

Suppose a process generates 15 batches of a product. For each batch, 2 samples are taken and the thickness of each sample is measured 2 times.

Using the standard SQC charting techniques described in the previous sections, we can analyze the process using X-Bar and S Charts:

Analyzing the above data yields the following X Bar and S charts:

Question:  is your process out of control? With the above technique, you can not be certain.

Considering the above charts, the X-Bar chart is severely out-of-control. In interpreting these charts, one should realize that the control limits in the X-Bar chart were calculated on the basis of the standard deviations within the subgroup on the basis of the within-sample variability. The subsequent subgroups, however, are not only subject to within-sample variability, but also to between sample to sample and batch to batch variability.

What are the sources of variation in a product response? There are three major sources of variation in a process:

1. Measurement variability

2. Sampling variability (within batch)

3. Batch to batch variability

Each of the three sources of variability adds variation or error to the results. The sample pulled from the batch and tested yields to:

E = X - Xbar (Average)

Where:

E is the error,

X is the measurement and

Xbar (Average) is the population average.

 

The overall error has three components corresponding to three sources of variations:

E = E Batch + E Sample + E Measurement

Where:

E Batch is the error caused by batch to batch variability,

E Sample is the error caused by batch to sampling variability and

E Measurement is the error caused by batch to measurement variability.

By definition, these errors have zero averages and can be assumed to be represented as normal distributions with fixed variances.

 

The standard deviation, s , calculated from the data represents an estimate of the combination of these error components.

 

s 2= s Batch 2 + s Sample 2 + s Measurement2

Where:

s 2 is the total estimated variable

s Batch 2 is the batch-to-batch estimated variance

s Sample 2 is the sample estimated variance

s Measurement 2 is the measurement variance

This is lots of statistics, however, the Advanced SQC for Excel™ version makes this very easy to handle.

However, you need to run Advanced SQC for Excel™ version and you get the following chart:

Now you can say you are in control. If you have multiple sources of data you should consider Advanced SQC for Excel™.

 

 

 
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