Implementing Six Sigma Tools and Techniques

The concept of Six Sigma was introduced in the mid 1980’s 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 today’s 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 46 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

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

Home | Training | GDT 1994 | GDT 2009 | Implementing SPC | Intro to Problem Solving | Managing Through COQ | Intro to CMMs
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