PDCA
Statistical Process Control
Usage Control Charts
1 Select process
2 Identify product or process characteristics that describe process performance
3 Select the appropriate type of control chart
4 Measure process performance over a period of time
5 Use appropriate calculations based on measurement data to determine center lines and control limits for performance characteristics
6 Plot measurement data on control charts
7 Are all measured values within limits and distributed randomly around centerlines?

8 Process is stable; continue measuring
9 Process is not stable
10 Identify and remove assignable causes (Back to 4)
Common questions for investigating an out-of-control process
Each team should address each ‘Yes’ answer as a potential source of a special cause.
Fishbone Chart

Six Sigma
Defects per Million Opportunities
A six sigma process is one in which 99.99966% of the products manufactured are statistically expected to be free of defects (3.4 defects per million)
DMAIC
A general-purose problem solving methodology
Problem or goal statement (Y)
Define
Measure - Analyze - Improve - Control
Y = Effectiveness of inspections
= f(size, complexity, duration, reading technique)
DMAIC Roadmap
Define:
Measure:
Analyze:
Improve:
Control:
Revising and Updating Control Limits
Revising Control Limits
Updating Control Limits
Quartiles
A quartile is any of the three values which divide the sorted data set into 4 equal parts, so that each part represents 1/4th of the sample or population.
i.e. Sorted data can be scatter plot, bell curve, box plot etc
Box Plot
Lower tail, Upper tail
Median
Lower quartile, Upper quartile
Scale
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