Six Sigma is a data-driven approach to quality, aimed at reducing variation and the associated defects, wastes and risks in any process. This article explores the basics of Six Sigma process quality – definition and measurement.

In a set of data, mean (μ) and standard deviation (σ) are defined as:

μ = x1 + x2 + x3 + … + xn) / n

Where x1 , x2 , … , xn are data values and n is the number of data elements, and Standard deviation shows the extent of variation or spread of data. A larger standard deviation indicates that a data set has a wider spread around its mean. Process data usually has a normal distribution. The distance from the mean μ to a data value in terms of data units can be measured. For example, a data point with a value of x = 31 seconds is 6 seconds away from a mean value of 25 seconds. This distance can also be measured by counting the number of standard deviations in the distance. If the standard deviation is 2 seconds, the same point is 6/2 or 3 standard deviations away from the mean. This count is denoted by sigma level, Z, also known as Z-score, as shown below.

Z = (x – μ) / σ

Z = (31- 25) / 2 = 3

###

In a process, deviations from the target or mean are accepted to a certain value defined by the specification limits (SL) around the mean. Any value beyond the specification limit indicates a defect or unacceptable result. The farther the specification limits are from the mean, the lower the chance of defects.

A Six Sigma process has a specification limit which is 6 times its sigma (standard deviation) away from its mean. Therefore, a process data point can be 6 standard deviations from the mean and still be acceptable. (See Figure 1.)

Figure 1: Normal Distribution With Mean, Z-score and Six Sigma Specification Limits

In a stable process, the mean naturally shifts as much as 1.5 sigma in the long term on either side of its short-term value. The red lines in Figure 2 (below) show the extreme case of 1.5-sigma mean shift to the right. The right specification limit is at 4.5 sigma from the mean with a defect rate of 3.4 parts per million (PPM). The left specification limit is at 7.5 sigma from the mean with a defect rate of 0 PPM. The overall defect rate, therefore, is 3.4 PPM. A similar argument applies to the extreme case of 1.5-sigma shift to the left. A Six Sigma process is actually 4.5 sigma in the long term, and the 3.4 PPM defect rate is the 1-sided probability of having a data value beyond 4.5 sigma measured from the short-term mean.

Figure 2: Process Mean Shift of 1.5 Sigma and Defect Rate Corresponding to 4.5 Sigma

The 1.5-sigma shift makes defects approach 0 on the opposite side of the shift even at lower sigma levels. The one-sided defect rate is applicable to any capable process with 1-sided or 2-sided SLs, even at a 3-sigma level.

Given the specification limit, SL, the process sigma level, or process Z, is:

Z = (x – μ) / σ = (SL – μ) / σ

In this example, the process sigma level for a specification limit of 31 seconds is:

Z = (SL – μ) / σ

Z = (31 – 25) / 2 = 3

Therefore, the process is at a 3-sigma quality level. In order to bring the process to the golden Six Sigma quality level, the process sigma would have to be reduced to 1.

Z = (31 – 25) / 1 = 6

In general, the Z formula can be rearranged to calculate the maximum allowable process sigma, or standard deviation, for any sigma level.

Z = (x – μ) / σ

σ = (x – μ ) / Z

For example, given a mean of 25 seconds and SL of 31 seconds, for a Six Sigma quality level, the required process sigma is calculated as:

σ = (31 – 25) / 6 = 1

Similarly, for a 3-sigma quality level, the process sigma must be:

σ = (31 – 25 ) / 3 = 2

Referring back to the short- and long-term behavior of the process mean, there are 2 values for Z, short-term Z, or Zst, and long-term Z, or Zlt.

Zlt = Zst – 1.5

In sigma level calculations, use Zst. A Six Sigma process is 6 sigma in the short term and 4.5 sigma in the long term or:

Zst = 6

Zlt = Zst – 1.5 = 4.5

###

Sometimes the term process sigma is used instead of the process sigma level, which may cause confusion. Process sigma indicates the process variation (i.e., standard deviation) and is measured in terms of data units (such as seconds or millimeters), while process sigma count Z, or process sigma level, is a count with no unit of measure.

###

Another measure of process quality is process capability, or Cp, which is the specification width (distance between the specification limits) divided by 6 times the standard deviation.

Cp = (Upper SL – Lower SL) / 6σ

The recommended minimum or acceptable value of Cp is 1.33. In terms of Six Sigma, this process capability is equivalent to a sigma level of 4 and long-term defect rate of 6,210 PPM. Process capability for a Six Sigma process is 2.

In a set of data, mean (μ) and standard deviation (σ) are defined as:

μ = x1 + x2 + x3 + … + xn) / n

Where x1 , x2 , … , xn are data values and n is the number of data elements, and Standard deviation shows the extent of variation or spread of data. A larger standard deviation indicates that a data set has a wider spread around its mean. Process data usually has a normal distribution. The distance from the mean μ to a data value in terms of data units can be measured. For example, a data point with a value of x = 31 seconds is 6 seconds away from a mean value of 25 seconds. This distance can also be measured by counting the number of standard deviations in the distance. If the standard deviation is 2 seconds, the same point is 6/2 or 3 standard deviations away from the mean. This count is denoted by sigma level, Z, also known as Z-score, as shown below.

Z = (x – μ) / σ

Z = (31- 25) / 2 = 3

###
**Specification Limits and Defect Rates**

In a process, deviations from the target or mean are accepted to a certain value defined by the specification limits (SL) around the mean. Any value beyond the specification limit indicates a defect or unacceptable result. The farther the specification limits are from the mean, the lower the chance of defects.

A Six Sigma process has a specification limit which is 6 times its sigma (standard deviation) away from its mean. Therefore, a process data point can be 6 standard deviations from the mean and still be acceptable. (See Figure 1.)

Figure 1: Normal Distribution With Mean, Z-score and Six Sigma Specification Limits

Figure 2: Process Mean Shift of 1.5 Sigma and Defect Rate Corresponding to 4.5 Sigma

Given the specification limit, SL, the process sigma level, or process Z, is:

Z = (x – μ) / σ = (SL – μ) / σ

In this example, the process sigma level for a specification limit of 31 seconds is:

Z = (SL – μ) / σ

Z = (31 – 25) / 2 = 3

Therefore, the process is at a 3-sigma quality level. In order to bring the process to the golden Six Sigma quality level, the process sigma would have to be reduced to 1.

Z = (31 – 25) / 1 = 6

In general, the Z formula can be rearranged to calculate the maximum allowable process sigma, or standard deviation, for any sigma level.

Z = (x – μ) / σ

σ = (x – μ ) / Z

For example, given a mean of 25 seconds and SL of 31 seconds, for a Six Sigma quality level, the required process sigma is calculated as:

σ = (31 – 25) / 6 = 1

Similarly, for a 3-sigma quality level, the process sigma must be:

σ = (31 – 25 ) / 3 = 2

Referring back to the short- and long-term behavior of the process mean, there are 2 values for Z, short-term Z, or Zst, and long-term Z, or Zlt.

Zlt = Zst – 1.5

In sigma level calculations, use Zst. A Six Sigma process is 6 sigma in the short term and 4.5 sigma in the long term or:

Zst = 6

Zlt = Zst – 1.5 = 4.5

###
**Clarifying Process Sigma and Sigma Level**

Sometimes the term process sigma is used instead of the process sigma level, which may cause confusion. Process sigma indicates the process variation (i.e., standard deviation) and is measured in terms of data units (such as seconds or millimeters), while process sigma count Z, or process sigma level, is a count with no unit of measure.

###
**Process Capability and Six Sigma**

Another measure of process quality is process capability, or Cp, which is the specification width (distance between the specification limits) divided by 6 times the standard deviation.

Cp = (Upper SL – Lower SL) / 6σ

The recommended minimum or acceptable value of Cp is 1.33. In terms of Six Sigma, this process capability is equivalent to a sigma level of 4 and long-term defect rate of 6,210 PPM. Process capability for a Six Sigma process is 2.