1. the sigma level - example
TRANSCRIPT
7/25/2019 1. the Sigma Level - Example
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Lesson 11 out of 21: Calculating the Sigma Level - Toolset
Overview
When calculating the Sigma performance level for a product or process, the metric Defects Per Million
Opportunities (DPMO) is generally used. Because complex products like automobiles, aircraft, or
computers have many more opportunities for defects than simple products like pencils and paperclips,
DPMO was created to level the playing field and provide a fair comparison - often a problem within
companies that provide a wide range of products and services (see the Slide Show on DPMO). Theanimation below shows the relationship between Sigma Level, DPMO, and Yield.
To see how the Sigma Level, DPMO, and Yield are related, click on the hand and drag the distribution.
Example
Example 1
For perspective on Six Sigma, and what it really means, consider the average human life for a moment. If
the average lifespan is 75 years, then there are 657,000 hours. At three defects per million, a Six Sigma
life would never have a bad day - only about two bad hours! If those two bad hours were the hour of
birth and the hour of death, then everything in between would be perfect!
Defect Definition: A defect is defined as any failure of a product or process to meet customer requirements.
Customer requirements may or may not be expressed
accurately as internal specifications, so a product or
process might meet specifications but still be defective
in the customer's mind.
Calculating the Sigma Level
Deeper Dive:
DPMO
Discussion
The Sigma Level - Example
Deeper Dive:
Other
Quality
Metrics
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The chart below shows the relationship between Sigma Level, DPMO, and Yield at several different Sigma
Levels:
* Yield calculation assumes only one possible defect per unit, which is not usually the case.
Example 2
A mortgage company is embarking on a project to improve the performance of its underwriting and loan
closing process. The company wants to establish a Sigma Level baseline in order to gage its improvement
efforts. The company has identified four general steps in the process. Each of the process steps is shown
below, along with the potential number of defects for each step (this is a simplified example):
According to this information, there are a total of 35 possible defects that could occur during each loan
approval and documentation process. Company records indicate that 2,500 loans were processed during
the last year, and out of those 2,500 loans, 3,500 defects were identified.
So what is the Sigma Level ?
Each of the 2,500 loan applications represented 35 defect opportunities, for a total of 87,500
opportunities. Actual experience was 3,500 defects.
Defects per million opportunities is therefore: (3,500/87,500) x 1,000,000 = 40,000
At a level of 40,000 Defects Per Million Opportunities, the company is operating at a Sigma Level between
3.0 and 3.5.
In the "How" section of this lesson, we will review the Sigma Level calculation in greater detail.
How
Yield *
Defects Per
Million Opportunities Sigma Level
69.15% 308,500 2.0
84.13% 158,700 2.5
93.32% 66,800 3.0
97.73% 22,700 3.5
99.38% 6,200 4.0
99.87% 1,300 4.5
99.977% 230 5.0
99.997% 30 5.5
99.9997% 3.4 6.0
Process StepPotential Defects Per
Application
Collect information fromapplicant
15
Verify applicant information 5
Evaluate credit quality 5
Prepare loan paperwork 10