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Putting Statistical Process Control (SPC) into Practice

What Is SPC Statistical Process Control?

Sta­tis­ti­cal Process Con­trol, or SPC, is a method to mon­i­tor, con­trol, and enhance process­es by study­ing their data over time. SPC enables con­sis­tent, pre­dictable process­es by min­i­miz­ing vari­a­tion. Learn the five steps to prac­tic­ing SPC, the impor­tance of under­stand­ing the two types of vari­a­tion, and the role of con­trol charts.

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What Is SPC Statistical Process Control?

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Next VideoSPC Step 1: Identify Critical Processes

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SPC Step 2: Collect Data

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How to Create a Sampling Plan

06:51

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How to Set Sample Sizes

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Understanding Measurement, Metrics, KPIs, and Data

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Variable Data

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Attribute Data

04:49

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How to Select Subgroups

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SPC Step 3: Analyze Data

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How to Select the Right Control Chart Type

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SPC Step 4: Identify Variation

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Common Cause vs Special Cause Variation

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SPC Step 5: Root Cause Corrective Action

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Managing with SPC

03:38

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Next Video SPC Step 1: Identify Critical Processes 

In the first step of Sta­tis­ti­cal Process Con­trol, or SPC, we iden­ti­fy crit­i­cal process­es. Learn the def­i­n­i­tion of a crit­i­cal process, the cri­te­ria for select­ing them, and the 10 steps to iden­ti­fy­ing them in our organization.