Introduction To Statistical Process Control

Introduction to Statistical Process Control

Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

What is Statistical Process Control? ,[object Object],[object Object],[object Object]

Quality Control vs. Process Control ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Quality Control vs. Process Control ,[object Object],[object Object],[object Object],[object Object]

The Inspection Exercise Count the F’s in the paragraph. Results:

Why Not Just Inspect & Reject? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Why Use Statistics? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Is this theory, or is this relevant? ,[object Object],[object Object]

Two Types of Variability ,[object Object],[object Object],[object Object],[object Object],[object Object]

Two Types of Variability ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],How could you reduce the variability from each of these sources?

Two Types of Variability ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Two Types of Variability (This may hurt your brain at first) ,[object Object],[object Object],[object Object],[object Object]

Specifications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Process Capability Ratios Voice of Customer Voice of Process (Desired Performance) / (Actual Performance) This curve is the distribution of data from the process The shaded areas represent the percentage of off-spec production Process performance is not necessarily centered between the spec limits Ideally, you want to reduce the variability in the product until NO off-spec product is made, and the capability ratio is 1 or more

Process Characterization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],What happens if you do not distinguish between random and special cause variability, and start adjusting the process to try to reverse a random fluctuation?

Process Characterization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Process Characterization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],You should be able to use the expertise developed by controlling special cause variation to adjust the process to center the mean. Adjusting the variables you already control will not fix this. Process modification is required.

Process Characterization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Why is this a problem? The product is all OK.

Process Characterization ,[object Object],[object Object],[object Object],[object Object],[object Object]

Process Characterization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Which problem should you address first: an off-center mean, or special cause variability?

Process Characterization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Reality of Real Processes ,[object Object],[object Object]

Introduction To Statistical Process Control

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Introduction To Statistical Process Control