

Fusion Training
Course Outline
Fusion is a new training system developed by PROMAXs Lean Six Sigma Division that brings together
Lean Six Sigma Black Belt, Green Belt and
Champion/Sponsor training into one comprehensive, integrated
course of study.
Duration:
34 days consulting on project
selection and four  one week training sessions (each three weeks apart)
Course
Content: first
Week

Lean Six Sigma, History of Quality, Strategy and Principles

Roles
& responsibilities

DMAIC
and DMADV Process Overview

Available
Lean Six Sigma Training

Deployment
Plan

Policy
Deployment

Strategic
PlanningDeploying Projects

System
of Indicators Key Performance Indicators, Balanced
Scorecard, Flag System of Indicators

Define
COPQ Hidden Cost, Internal Failure Cost, Cost of
Field Failures, Cost of Inspection, Cost of Prevention

Introduction
to Lean Lean Six Sigma Tools Value Stream Mapping , Types
of Data, Data Collection, Measurement System Analysis, Process
Capability, Descriptive Statistics, Hypothesis Testing, ANOVA,
Design of Experiments, Lean Enterprise, SPC, FMEA, Weibull
Analysis

Voice
of the Customer Customer CTQs, Sources of VOC,
Dimensions of Quality the Kano Model, VOC Process Planning

Project
Selection

Management
Reviews Definition and Purpose, How to Conduct a
review and Guidelines for Management
Formal
Champion Training is completed on the third day  Ends Here

Define Indicators, Problem Definition, Project Charter,
Project Planning Worksheet

Process
Management Definition of Core, Macro
Micro/Enabling, Select Top Priority Process, Process
Flowcharting construct flowchart of identified process,
selecting Process Indicators

Measure
Purpose of Data, Types of Data

Basic
Sampling  Simple Random Sampling, Systematic
Sampling

Data
Collection Principles of Data Collection, Sources
of Data, How to design a Checksheet

Displaying
Data Histograms, Frequency Charts, Line Graphs,
Run Charts, Bar Charts, Radar Charts

Project
Planning Status, Action Planning
Course Content:
second
Week

Analyze
Logic of Root Cause Analysis

Basic
Probability & Statistics
Descriptive vs. Inferential Statistics, Measures of Central
Tendency, Measures of Dispersion, Basic Probability

Stratification
Pareto
Charts

Cause/Effect
Analysis Potential
Root Causes, Cause & Effect Diagram, Root Cause
Verification

Improve
and Implement
Identifying Countermeasures, Cost/Benefit Analysis, Force
Field Analysis, Develop Implementation Plan, Confirm Results

DFSS
/ DMADV DefineMeasureEvaluate Design
ConceptsDevelop Final Design Validate Design
Implement Design

Control
Control of Processes/Products Standardize
Standard Operating Procedures, Eliminate Variation , Control
Charts

Introduction
to Statistical Process Control Understanding
Variation, Types of Variation, Sources of Variation, Control
Chart Definitions, Control Chart Components, How to use
Control Charts, Interpreting Control Charts

Variables
Control Charts
X bar R Chart, X, mR Chart

Attribute
Control Charts
np Chart, p Chart, c Chart, u Chart, How to select the proper
control chart

Lean
Enterprise Principles for a Lean Enterprise

Components
of Lean Operations Layout and Balancing, Design
for Production, Mistake Proofing, Batch Size Reduction,
Customer Demand Pull The Value Stream Map

Waste
Elimination

8
Sources of Waste

Continuous
OnePiece Workflow

Demand
Pull Processing

Kan
Ban

5
Ss  Sort, Store, Shine, Standardize, Sustain

Mistake
Proofing

Plan
to Mitigate Top Priority Risks
Identify actions to attack risks develop action plan,
estimate post seriousness after mitigation, estimate
PostProbability of Occurrence Calculate PostRisk
Prioritization Number.
Formal Green Belt
Training is completed at the end of the 2nd Week  Ends here
Course Content: Third Week

Advanced
Probability and Statistics Review of Descriptive
Statistics

Introduction
to Minitab Worksheet and Project File Structure,
Session Window, Using Minitab Worksheets, Manipulating Data
with Minitab

Characteristics
of the Normal Curve Chebyshevs Theorem,
Calculating Percentiles.

Standard
Normal Transformation

Probability
Definitions Permutations and Combinations, Laws of
Probability

Advanced
Sampling Sampling Rules of Thumb, Sampling
Definitions, Sample Size Formulas, Sampling Error,
Significance Level.

Other
Sampling TechniquesTwoStage Sampling, Stratified
Sampling, Cluster Sampling, Confidence Intervals.

Measurement
Systems AnalysisMeasurement System Components,
Sources of Observed Variation, How to Conduct MSA Studies,
Attribute MSA, Variables MSA.

Process
Capability Control Limits vs. Customer
Specifications, Loss Function Concept, Process Capability
Indices, Shifts and Drifts (1.5 Sigma Shift).

Calculating
Process Yield

Comparing
Stability and Capability

Hypothesis
Testing Detecting Differences, The Null Hypothesis,
The Alternate Hypothesis, Visualizing Risks, Hypothesis
Testing Procedure, Hypothesis Testing Decision Tree, Test of
MeansVariance Known, Test of Means Variance Unknown, Test of
Variances vs. Standard, Test of Two Population Variances, Test
of Proportions vs. Standard, Test of Two Population
Proportions

Non
Parametric Tests of Hypothesis Test for Normality,
Tests of Medians, Test of Two Population Medians, Test of
Multiple Medians

Correlation/Regression
Analysis

ANOVA
Test of Multiple Means, Analysis of Means

Introduction
to Design of Experiments One factor at a time
experiments, DOE Process, DOE Planning, DOE Applications

DOE
Activity Instructions

Build
DOE Model Test and Modify DOE Model, DOE Catapult
Competition

Benchmarking
 Reasons for Benchmarking , Types of
Benchmarking, Basic Benchmarking Methodology, Preparing for
Benchmarking, Benchmarking Ethics

Reliability
Basic Reliability Methods, Reliability
Management

Fault
Tree Analysis Causes of Undesirable Events, Fault
Tree Terms and Symbols, Fault Tree Diagram, Quantifying the
Fault Tree

Quantifying
Reliability  Measures of Reliability, Data Components,
Goals of Reliability Data Analysis, Censored Data, Life Data
Models, Calculating Mean Time Between Failures

Weibull
Analysis Calculating Failure Rate, The Bathtub Curve,
Weibull Distribution, Failure Data Analysis

Failure
Modes and Effects Analysis (FMEA) Identify
Failure Modes and Effects, Assess Seriousness, Identify
Potential Causes, Estimate probability, Identify Detect ability,
Measure Controls Calculate Risk Prioritization Number

Management
and Planning Tools 7 New Management & Planning
Tools Relationship Diagram, Affinity Diagram, Systematic
Diagram, Matrix Diagram, Matrix Data Analysis, Arrow Diagram,
Process Decision Program Chart
Green
Belt and Black Belt Recap
Course Materials:

Course
Manuals (Disk)

PROMAX
Six Sigma Pocket Guide

PROMAX Lean Enterprise Pocket Guide

Minitab
14 Demo Software for Black Belts Only

Computer
is only required for Black Belt participants (not provided by
PROMAX)
Contact PROMAX at 321725430

