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The concept of Six Sigma was introduced
in the mid 1980s as a measure of process performance.
Today, Six Sigma can be thought of as a metric, a
methodology, and a management philosophy oriented toward
achieving breakthrough performance.
Implementing Six Sigma Tools and Techniques is an
in-depth Seminar covering the basic concepts, tools, and
techniques needed to help your company succeed as a
manufacturer in todays globally competitive
environment.
Implementing Six Sigma Tools and Techniques is
divided into four major sections and requires
approximately 32 hours for presentation. Various
presentation schedules are available to meet your
requirements. The content can be customized to meet the
needs of specific departments or personnel.
Seminar participants receive copies of Handbooks and
Workbooks for each section of the program, a statistical
calculator, and supplemental supplies and materials.
Please
contact us
to learn how to succeed in implementing Six Sigma tools
and techniques at your company.
To download the data sheet for this program, please
click
here.
(PDF 95 KB)
Seminar Outline:
Section 1 - Basic Statistical
Tools and Techniques
Unit 1 - Introduction to SPC
Statistical Process Control
Quality Characteristics
Variables
Attributes
Process Variation
Common Causes
Assignable Causes
Distributions
Population
Samples
Types of Distributions
Collecting Variables Data
Resolution
Zero Value
Observed Values
Using the Variables Data Form
Unit 2 - Frequency Tables
Frequency Tables
Making and Using Frequency Tables
Unit 3 - Histograms
Histograms
Making and Using Histograms
Unit 4 - Probability Plots
Probability Plots
Making and Using Probability Plots
Unit 5 - Mean and Standard
Deviation
Mean, Sample Mean, and Population Mean
Standard Deviation, Sample Standard
Deviation,
and Population Standard Deviation
Areas Under the Normal Curve
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
Cpk and Ppk
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 - Control Charts and
Related Techniques
Unit 1 - Types and Uses of
Control Charts
Introduction
Statistical Process Control
Quality Characteristics
Variables
Attributes
Process Variation
Common Causes
Assignable Causes
Distributions
Populations
Samples
Subgroups
Types of Control Charts
Variables Control Charts
Attributes Control Charts
Control Chart Theory
Process Capability Studies
Ongoing Process Monitoring and Control
Unit 2 - Collecting Variables
Data
Selecting Characteristics to be Charted
Determining the Subgroup Size
Combining Process Streams to form
Subgroups
Determining the Sampling Interval |
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Unit 3 - X Bar and R Charts
X Bar and R Charts
Making and Using X Bar and R Charts
Unit 4 - Interpreting Patterns
Natural Patterns
Unnatural Patterns
Outliers
Runs
Sudden Change in Level
Mixtures
Stable Mixtures
Unstable Mixtures
Stratification
Analyzing Mixtures
Trends
Unit 5 - Determining Process
Capability
Estimates of the Standard Deviation
Capability Index
Capability Ratio
Centering the Process
The Process Capability Index Cpk
The Meaning of Six Sigma Capability
The Process Capability Index Ppk
Parts Per Million Equivalents
Establishing Standard Values for Control
Limits
Unit 6 - PRE-Control
PRE-Control
Implementing PRE-Control
Section 2 - Control Charts and
Related Techniques Supplement
Unit 1 - X and MR Charts
X and MR Charts
Making and Using X and MR Charts
Unit 2 - Target X Bar and R
Charts
Target X Bar and R Charts
Making and Using Target X Bar and R Charts
Section 3 - Six Sigma Tools and Techniques Part 1
Unit 1 - Implementing Six Sigma
Overview of Six Sigma
Six Sigma as a Metric
Six Sigma as a Methodology
Six Sigma as a Management Philosophy
DMAIC
Define
Measure
Analyze
Improve
Control
Unit 2 - Tools for Problem
Solving
Brainstorming
Cause and Effect Diagrams
Charts and Graphs
Check Sheets
Control Charts
Cost Benefit Analysis
Criteria Rating
Designed Experiments
Flow Charts
Force Field Analysis
Gantt and PERT Charts
Histograms
Pareto Charts
Regression Analysis
Paired Comparisons
Pictographs
Process Maps
Failure Mode and Effects Analysis (FMEA)
Surveys and Interviews
Weighted Voting
Additional Tools and Techniques
Unit 3 - Flow Charting and
Process Mapping
Flow Charting
Process Mapping
Creating Procedures and Work Instructions
Unit 4 - Pareto Diagrams
Pareto Diagrams
Making and Using Pareto Diagrams
Unit 5 - Cause and Effect
Diagrams
Cause and Effect Diagrams
Cause Enumeration Diagram
Dispersion Analysis Diagram
Process Analysis Diagram
Making and Using Cause and Effect Diagrams
Making and Using a Cause Enumeration
Diagram
Section 4 - Six Sigma Tools and
Techniques Part 2
Unit 1 - Failure Mode and
Effects Analysis
Failure Mode and Effects Analysis (FMEA)
Severity Evaluation Criteria
Occurrence Evaluation Criteria
Detection Evaluation Criteria
Unit 2 - Control Plans
Developing Control Plans
Implementing Control Plans
Unit 3 - Regression Analysis
Concepts and Terminology
Scatter Diagrams
Linear Regression
Making and Using Scatter Diagrams
Unit 4 - Design of Experiments
Concepts and Terminology
Simple Experiments
Designed Experiments
Advanced Experiments
Unit 5 - Lean Six Sigma
Overview of Lean Manufacturing
Concept of Lean Six Sigma
Program Summary |
