Implementing Statistical Process Control

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 45 KB)

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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