This document provides an overview and schedule for a Lean Six Sigma Black Belt Certification Program. The program is divided into nine parts that cover topics including organization-wide planning, process management, team management, the DMAIC approach (Define, Measure, Analyze, Improve, Control), and Design for Six Sigma. The schedule outlines the topics to be covered over 14 weekly Saturday sessions from October 2021 to April 2022. It also lists assignments that will be completed as part of the program, including tools used in the Define through Control phases of projects.
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Six Sigma Black Belt Course outline and main components
1.
2. Welcome to your ASQ
Certified Six Sigma Black Belt
Exam Preparation Course
Welcome
3. Brilliance academy is a training and consultation company established 2012
and focus on transfer continuous improvement concept to Egyptian business
environment by a comprehensive training with applied projects based on real data
from participants and site visits using main world wide material sources such as
ASQ, Quality America, Gemba academy, and lean enterprise institute.
.
About the ASQ.
ASQ has been at the forefront of the quality movement for 75 years. Headquartered
in Milwaukee, ASQ traces its beginnings to the end of World War II, as quality
experts and manufacturers sought ways to sustain the many quality-improvement
techniques used during wartime. ASQ has played a crucial role in upholding these
standards from the past while, at the same time, championing continued innovation
in the field of quality.
We hope you enjoy your course
4. Profile outline
➢ BSC- Chemistry 1999- Ain shams
➢ Master degree-ISSR- Cairo
university
➢ PhD in progress
➢ TQM Diploma -2007-AUC
➢ PMP training - 2008- AUC
➢ SSBB- 2010- ASQ
➢ Productivity Improvement-2010 –
ATOS – Japan -
➢ Lean Blue shirt - 2015- AITC- NIKE
Practical experience
20 years experience in manufacturing
sector in the below fields Dying and
finishing- Construction Chemicals and
Paints- Chromo jet printing – Garment
➢ Lean Six sigma training & continuous
improvement training more than
600 hrs.
➢ Neighborhood 9- El Obour City
➢ Married & 4 Childs
5. Dr. Mohamed Ibrahim El Santty is an instructor for continuous
improvement approaches and statistical techniques, He focuses on developing
change agents who can implement worldwide techniques and make their
organization better. With a strong interest in lean six sigma methodology, he
mixes academic and professional sources to develop unique training materials
that enable the participants to deeply understand the tools, Mohamed also has
20 years of experience in the manufacturing sector. He performs 500 hrs. Of
training on ASQ different programs and coaching for the participants in their
projects.
He also focus of integrate the Industry 4.0 and Internet of Thinking with
continuous improvement activity.
Profile
6.
7.
8.
9. Publication
“Multi Objective Six Sigma Methodology: Application on Chromo jet Printing”
American Journal of Research Communication, ISSN: 2325-4076, 2013, 1(7): 100-115
www.usa-journals.com
“Mixed aggregation Russel graph efficiency measure in Data Envelopment Analysis”
GIS SCIENCE JOURNAL: ISSN NO : 1869-9391
VOLUME 8, ISSUE 10, 2021,PAGE NO: 751
http://gisscience.net
17. 17
Part I: Organization-
Wide Planning and
Deployment
Chapter 1:
Organization-Wide
Considerations
Chapter 2:
Leadership
Roles and
Responsibilities
Black Belts
Master Black Belts
Green Belts
Champion
Executive
Process Owner
Processes ,Business
Process, Systems
Porter’s Five Forces
Portfolio Analysis
Strategic Planning and
Deployment for Initiatives
Hoshin Kanri
Feasibility Study
Risk Analysis &
SWT & PESTEL
Contingency Planning
Organizational
Roadblocks and Change
Management
Readiness Assessment
Readiness Assessment
Stakeholder Analysis
Communication Plans
18. 18
Part II: Organizational
Process Management and
Measures
Chapter 4:
Benchmarking
Chapter 5: Business
Measures
Key Performance Indicators
Common Customer Loyalty Metrics
Lagging and Leading Indicators
Creating Line of Sight from
Measures to Strategies
Financial Measures
Cost–Benefit Analysis (CBA)
Types of Benchmarking
Types of Benchmarking
Benchmarking Methodologies
Dangers of Benchmarking
Selecting Measures and
Performance Goals
Balanced Scorecard
Balanced Scorecard
Performance Measures
Financial Impact of Customer Loyalty
Chapter 3: Impact on
Stakeholders .
Cost Of Quality
Identifying Project Saving
19. 19
Part III: Team
Management
Chapter 7: Team
Facilitation
Team Communication
Group Behaviors
Meeting Management
Team Decision-
Making Methods
Needs Assessment
Delivery
Relationships within the Team
Team Stages of Development
Motivational Techniques
Team Leadership Models
Chapter 6: Team
Formation
Evaluation
Chapter 8:
Team Dynamics
NewTeam Types and
Constraints Topic
NTeam Roles and
Responsibilities ew Topic
NeTeam Member Selection
Criteriaw Topic
NeTeam Success
Factorsw Topic
NGT
Motivating
Force-Field
Analysis
Chapter 9: Team
Training
20. 20
Part IV:
Define
Chapter 13: Analytical
Tools
Chapter 11: Business
Case and Project Charter
Chapter 10: Voice of
the Customer
Chapter 12: Project
Management
Customer
Identification
Customer Data
Collection
Customer
Requireme
nts
Business Case
(SIPOC)
Quality Function
Deployment
Critical-to-Quality
Flow-Down
Critical to X
(CTx)
Kano Model
Problem Statement
Goals and
Objectives
Project Scope
Project Performance
Measurements
Gantt Charts
Tollgate Reviews
WBS
RACI Model
Process Decision
Program
Interrelationship
Digraph
Affinity
Diagrams
Tree Diagrams
Matrix Diagram
Prioritization
Matrix
Activity Network
Diagram
21. 21
Part V:
Measure
Chapter 15: Data
Collection
Chapter 16:
Measurement Systems .
Chapter 17: Basic
Statistics
Chapter 14: Process
Characteristics
Chapter 19: Process
Capability
Chapter 18:
Probability
Process Flow Metrics
Process Analysis
Tools
Types of Data
Measurement Scales
Sampling
Data Collection Plans
and Methods
Central Limit
Theorem
Descriptive Statistics
Graphical Methods
Valid Statistical
Conclusions
Basic Concepts
Distributions
Contingency Tables
Conditional
Probability
Independent and
Dependent Events
Mutually Exclusive
Events
Multiplication Rule
Permutations and
Combinations Normal-Poisson-
Binomial
Chi Square
F & t-Distribution
Hypergeometric
Bivariate-Exponential
Lognormal-Weibull
Process Capability
Indices
Process Capability for
Attributes
Process Capability for
Non-Normal
Short & Long-Term
Capability
22. 22
Part VI:
Analyze
Chapter 21:
Hypothesis Testing
Chapter 22: Failure Mode and
Effects Analysis (FMEA)
Chapter 20: Modeling
Relationships between Variables
Chapter 23: Additional
Analysis Methods
Correlation
Coefficient
Linear
Regression
Multivariate
Tools
Multi-Vari
Studies
Point and Interval
Estimates
Means, Variances,
and Proportions
ANOVA
Goodness-of-Fit
(Chi Square)
Contingency
Tables
Non-Parametric
Root Cause
Analysis
Waste Analysis
Gap Analysis
Fishbone -
Pareto-5W
Fault Tree
Analysis
24. 24
Part VIII:
Control
Chapter 27:
Statistical Process
Control
Chapter 30:
Sustain
Improvements
Chapter 28:
Other Controls
Chapter 29:
Maintain
Controls
Control Chart
Selection
Control Chart
Analysis
Total Productive
Maintenance (TPM)
Visual Controls
Measurement
System Reanalysis
Control Plan
Lessons Learned
Documentation
Training
Ongoing
Evaluation
25. Part IX:
Design for Six
Sigma (DFSS)
Chapter 31: Common
DFSS Methodologies
Chapter 34:
Retained Knowledge
Design for
X (DFX)
Chapter
33: Robust
Designs
DMADV
DMADOV
DMEDI
IDOV
Design to Cost
Design for P &
Ass.
Design for Test
Design for
Maintainability
Design for
Robustness
Functional
Requirements
Noise Strategies
Tolerance Design
Statistical
Tolerancing
Tolerance and
Process Capability
Tolerance
Intervals
The Taguchi
Loss Function
Strategic
Tactical
Porter’s Five Forces
Portfolio
Architecting
Hoshin Planning
TRIZ
Axiomatic Design
Systematic
Design
Critical Parameter
Management
Pugh Analysis
27. 27
Remember
Recall or recognize terms, definitions, facts, ideas, materials, patterns, sequences,
methods, principles, etc.
Understand
Read and understand descriptions, communications, reports, tables, diagrams,
directions, regulations, etc.
Apply
Know when and how to use ideas, procedures, methods, formulas, principles,
theories, etc.
LEVELS OF COGNITION
28. 28
Analyze
Break down information into its constituent parts and recognize their relationship to
one another and how they are organized; identify sublevel factors or salient data from
a complex scenario.
Evaluate
Make judgments about the value of proposed ideas, solutions, etc., by comparing the
proposal to specific criteria or standards.
Create
Put parts or elements together in such a way as to reveal a pattern or structure not
clearly there before; identify which data or information from a complex set is
appropriate to examine further or from which supported conclusions can be
drawn.