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Putting Statistical Process Control (SPC) into Practice

SPC Step 4: Identify Variation

Under­stand­ing vari­a­tion is not only key to improv­ing process­es but also to effec­tive­ly allo­cat­ing resources and ensur­ing con­sis­tent, high-qual­i­ty out­comes. Learn the four key con­cepts we must grasp in order to suc­cess­ful­ly iden­ti­fy vari­a­tion as part of sta­tis­ti­cal process control.

Course Videos

1

What Is SPC Statistical Process Control?

04:02

 2

SPC Step 1: Identify Critical Processes

04:08Members only

 3

SPC Step 2: Collect Data

03:44Members only

 4

How to Create a Sampling Plan

06:51Members only

 5

How to Set Sample Sizes

05:40Members only

 6

Understanding Measurement, Metrics, KPIs, and Data

07:10Members only

 7

Variable Data

05:14Members only

 8

Attribute Data

04:49Members only

 9

How to Select Subgroups

06:08Members only

 10

SPC Step 3: Analyze Data

06:07Members only

 11

How to Select the Right Control Chart Type

05:51Members only

Current Video

SPC Step 4: Identify Variation

06:18Members only

13

Next VideoCommon Cause vs Special Cause Variation

04:51Members only

 14

SPC Step 5: Root Cause Corrective Action

03:21Members only

 15

Managing with SPC

03:38Members only

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Course Resources

Next Video Common Cause vs Special Cause Variation 

In sta­tis­ti­cal process con­trol, we rec­og­nize two types of vari­a­tion, com­mon cause and spe­cial cause. Learn the def­i­n­i­tions and dif­fer­ences between these two types, and how to rec­og­nize them in our data by using con­trol charts.