Since the early 1980’s major corporations have often mandated the use of Statistical Process Control (SPC) techniques for both internal and Supplier operations. When implemented correctly, SPC can be a powerful tool for achieving quality and productivity. The key to success with SPC is in knowing when, where, and how it should be used.

*Implementing Statistical Process Control* is an in-depth seminar program covering all of the basic tools and techniques of SPC. Beyond this, it cover the critical business and management issues faced by companies trying to start, improve, or expand a SPC program.

This Seminar is oriented toward Managers, Supervisors, Engineers, and Quality Professionals. Participants need not have any previous training in SPC. The content can be customized to meet the needs of specific departments or personnel.

*Implementing Statistical Process Control* is divided into four major sections and requires approximately 32 hours for presentation. Various presentation schedules are available to meet your requirements.

Seminar participants receive copies of Learner Handbooks and Learner Workbooks for each section, a statistical calculator, and additional materials.

Please contact us to find out how to succeed with SPC at your company.

To download the data sheet for this program, please click here. (PDF)

**Seminar Outline:**

**Section 1 - Introduction to SPC**

**Unit 1 - Introduction to SPC**

• Statistical Process Control

• Process Variation

– Common Causes

– Assignable Causes

• Quality Characteristics

– Variables

– Attributes

• Distributions

– Population

– Samples

– Distribution

**Unit 2 - Frequency Tables**

• Frequency Table

• Variables Data Form

– Zero Value

– Unit of Measure

– Recorded Value

• Labeling Frequency Tables

• Recording Measurement Values

• Recording Frequency of Occurrence

• Recording Cumulative Frequency

• Recording Cumulative Percent

• Cell Width

**Unit 3 - Histograms**

• Histograms

• Labeling Histograms

• Constructing Histogram Bars

**Unit 4 - Probability Plots**

• Probability Plots

• Lower Percentage Scale

• Upper Percentage Scale

**Unit 5 - Mean and Standard
Deviation**

• Mean

• Standard Deviation

• Population Mean

• Population Standard Deviation

• Sample Mean

• Sample Standard Deviation

**Unit 6 - Control Charts**

• Control Charts

• Subgroups

• Mean

• Range

• Upper and Lower Control Limits

• Common Causes

• Assignable Causes

• Types of Control Charts

**Unit 7 - Process Capability**

• Histogram Method

– Capability Ratio

– Capability Index

• Normal Probability Plot Method

• Process Capability Studies

**Unit 8 - Actions and Options**

• In Statistical Control and Capable

• In Statistical Control and Incapable

• Out of Statistical Control and Capable

• Out of Statistical Control and Incapable

• Options

• Summary

**Section 2 - Variables Control Charts**

**Unit 1 - Introduction**

• Process Capability

– Variables Control Charts

• Review of Control Chart Theory

**Unit 2 - Types of Control
Charts**

• Types of Control Charts

• Process Capability Studies

**Unit 3 - Collecting Variables
Data**

• Selecting Characteristics to be Charted

• Determining the Subgroup Size

• Determining the Sampling Interval

**Unit 4 - Starting the X Bar and
R Chart**

• Collecting the Data

– Zero Value

– Unit of Measure

**Unit 5 - Calculations**

• X Bar - Subgroup Average

• R - Subgroup Range

• X Double Bar - Grand Average

• R Bar - Average Range

• Labeling the Charts

• Plotting Points

• Upper and Lower Control Limits

**Unit 6 - Interpreting Patterns**

• Natural Patterns

• Unnatural Patterns

• Outliers

• Runs

• Sudden Change in Level

• Mixtures

• Trends

**Unit 7 - Determining Process
Capability**

• Capability Index

• Capability Ratio

• Centering the Process

Section 3 - Attributes Control Charts

**Unit 1 - Introduction**

• Quality Characteristics

• Conformance to Specifications

• Defect

• Defective

• Nonconformities

• Nonconforming Units

• Review of Control Chart Theory

• Process Capability Study

**Unit 2 - Types of Attribute
Control Charts**

• Selecting Which Control Chart to Use

• Creating Attribute Control Charts

• Determining the Subgroup Size and

Sampling Interval

• Constructing the Control Charts

• Plotting the Data

**Unit 3 - Constructing p Charts**

**Unit 4 - Constructing np Charts**

**Unit 5 - Constructing c Charts**

**Unit 6 - Constructing u Charts**

**Unit 7 - Types of Patterns**

• Natural Patterns

• Unnatural Patterns

• Outliers

• Runs

• Sudden Change in Level

• Mixtures

• Trends

**Unit 8 - Determining Process
Capability**

**Section 4 - Implementing SPC**

**Unit 1 - Implementing SPC**

• Introduction

• Training

• Where to Use SPC

• Choosing Between Variables and Attributes

Methods

• Measurement Variability

• Actions based on Capability Determination

• Establishing Standard Values for Control

Charts

**Unit 2 - Cause and Effect
Diagrams**

• Cause Enumeration Diagram

• Dispersion Analysis Diagram

• Process Analysis Diagram

• Brainstorming Sessions

• Making a Cause Enumeration Diagram

• Making a Dispersion Analysis Diagram

• Making a Process Analysis Diagram

**Unit 3 - Making and Using Cause
and Effect Diagrams**

• Cause and Effect Diagrams

• Cause and Effect Diagram Summary

**Unit 4 - Pareto Diagrams**

• Pareto Diagrams

• Pareto Diagram Summary

**Unit 5 - Automating SPC**

• Calculators

• Smart Instruments

• Stand-Alone Systems

• Computers

**Unit 6 - Designed Experiments**

• Regression Analysis

• Linear Regression

• Making a Scatter Diagram

– Scatter Diagram

– Negative Correlation

– Positive Correlation

• Summary

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