Basic Statistical Process Control

This practical, hands-on workshop gives every employee the skills necessary to monitor their own quality and participate in Six Sigma and TQM efforts. 

The seminar takes a common-sense approach that applies to assembly and administrative as well as machining and process operations. It provides a common language and approach for discussion of process issues and process improvement.

Phone to Schedule

816-931-1414

1. Introduction

What is Statistical Process Control?

What is Six Sigma?

2. Variation & Process Capability

Grass Measuring (Exercise)

The Normal Curve

Control & Specification Limits

Inherent & Assignable Variation

Attributes & Variables

3. Variable Control Charts

Run Charts

Shewart Charts (X-Bar-R) (Exercise)

Signs of an out-of-control process (Exercise)

4. Interpreting Control Charts

Normal Patterns

Trends, cycles & Timing

Interpretation Exercise

5. Attribute Control Charts

P-Charts (Exercise)

N-Charts(Exercise)

NP Charts (Exercise)

C & U Charts

6. What To Chart

Which Processes & Parameters To Chart?

Determining Critical Variables

When To Stop Charting (Exercise)

Introduction

• How SPC & Six Sigma can prevent errors before they occur.

• How assemblers in a window factory reduced their defect rate by 95% using attribute charts.

Variation & Process Capability

• The nature of variation -- why no two things are, ever, exactly alike.

• The difference between Control and Specification Limits and how their relationship determines process quality.

• How to distinguish Inherent Variation from Assignable Variation.

Attributes & Variables

• How to use Attributes and Variables to measure the control of ANY process.

Variable Control Charts

• To use simple run charts for easy monitoring.

• How to plot X-BAR-R charts and interpret them for improved control.

• Five signs of an out-of-control process and what to do when these signs appear.

• Why a process may be out of control but still produce acceptable quality.

Attribute Control Charts

• To use attribute charts for difficult-to-measure features.

• Five types of Attribute charts and how to select the most appropriate chart.

When, What & Why To Chart

• How to know what to chart, when to chart and when charting is no longer necessary.