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**

• Failure Mode and Effects Analysis (FMEA)

– Severity Evaluation Criteria

– Occurrence Evaluation Criteria

– Detection Evaluation Criteria

• Developing Control Plans

• Implementing Control Plans

• Concepts and Terminology

– Scatter Diagrams

• Linear Regression

• Making and Using Scatter Diagrams

• Concepts and Terminology

• Simple Experiments

• Designed Experiments

• Advanced Experiments

• Overview of Lean Manufacturing

• Concept of Lean Six Sigma

• Program Summary

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