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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.
The Seminar is based on the Technicomp SPC
II Masters Series training materials which were
authored by the Founder of Innovations PLUS. Seminar
participants receive copies of four Learner Handbooks
(over 600 pages of self-paced instructional material),
an Application Guide, a statistical calculator, and
supplemental materials.
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.
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.
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 82 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
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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
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Summary |
