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The ASQ certified six sigma black belt handbook / Mary McShane-Vaughn, editor.

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Format:
Book
Contributor:
McShane-Vaughn, Mary A., 1963- editor.
Language:
English
Subjects (All):
Production management.
Production management--Handbooks, manuals, etc.
Quality control--Statistical methods.
Quality control.
Physical Description:
1 online resource (1010 pages)
Edition:
Fourth edition.
Place of Publication:
Milwaukee : ASQ Excellence, [2022]
Summary:
Fully updated to reflect the 2022 ASQ Certified Six Sigma Black Belt (CSSBB) Body of Knowledge (BoK), The ASQ Certified Six Sigma Black Belt Handbook, Fourth Edition is ideal for candidates studying for the CSSBB examination. This comprehensive reference focuses on the core areas of organization-wide planning and deployment, team management, and each of the DMAIC project phases. The fourth edition of this handbook offers thorough explanations of statistical concepts in a straightforward way. It also reflects the latest technology and applications of Six Sigma and lean tools. Updates you will find in the fourth edition include: •New topics and tools, such as return on investment calculations, the roles of coaching and finance in projects, process-decision program charts, interrelationship digraphs, A3 analysis, maturity models, key behavior indicators, and audit MSA •A new chapter on risk analysis and management•Revamped statistics sections •New tables, figures, and examples to help illustrate key pointsThe ASQ Certified Six Sigma Black Belt Handbook, Fourth Edition is also a valuable addition to any quality practitioner's library.
Contents:
Cover
Table of Contents
List of Figures and Tables
Preface to the Fourth Edition
Preface to the Third Edition
Preface to the Second Edition
Preface to the First Edition
Acknowledgments
About the Editor
Acronym Glossary
ASQ Six Sigma Black Belt Certification Body of Knowledge (2022)
Part I: Organization-Wide Planning and Deployment
Chapter 1: Organization-Wide Considerations
Fundamentals of Six Sigma and Lean Methodologies
Six Sigma
Philosophy
Methodology
Statistical Standard
Lean
Lean and Six Sigma
Lean Six Sigma Maturity Model
Six Sigma, Lean, and Continuous Improvement Methodologies
Using Lean Six Sigma
Screening Criteria
Relationships Among Business Systems and Processes
Business Systems
Processes
Internal and External Stakeholders
Strategic Planning and Deployment for Initiatives
Return on Investment
Measured Intangibles
SWOT Analysis
Contingency and Continuity Planning
Chapter 2: Leadership
Roles and Responsibilities
Executive Leadership
Champion or Sponsor
Process Owner
Master Black Belts
Black Belts
Green Belts
Yellow Belts
White Belts
Finance
Coaches
Organizational Barriers
Organization Structure
Organization Culture
Causes for Six Sigma Failures
Training Programs
Arbitrary Requirements
Lack of Resources
Poor Project Selection
Critical Success Factors
Change Management
Stakeholder Analysis
Readiness Assessment
Proactive Change Management
Communication Plans
Part II: Organizational Process Management and Measures
Chapter 3: Impact on Stakeholders
Identifying Stakeholders
Chapter 4: Benchmarking
Types of Benchmarking
Benchmarking Methodologies
Dangers of Benchmarking
Selecting Measures and Performance Goals.
Chapter 5: Business Measures
Performance Measures
Balanced Scorecard
Key Performance Indicators (KPIs)
Features of Good KPIs
Choosing KPIs
Suboptimized Systems
Key Behavior Indicators (KBIs)
Objectives and Key Results (OKRs)
Common Customer Loyalty Metrics
Leading and Lagging Indicators
Creating Line of Sight from Measures to Strategies
Financial Measures
Revenue Growth
Market Share
Margin
Simple ROI
Net Present Value
Discounted ROI
Cost-Benefit Analysis (CBA)
Defining Hard versus Soft Dollars
False Savings
Identifying Project Savings
Part III: Team Management
Chapter 6: Team Formation
Team Types and Constraints
Team Roles and Responsibilities
Team Member Selection Criteria
Other Considerations
Team Success Factors
Chapter 7: Team Facilitation
Motivation Techniques
Recognition
Rewards
Relationships Within the Team
Demotivating Factors
The Five Dysfunctions of a Team
Team Stages of Development
Team Communication
Communicating Within the Team
Communication Outside the Team
Team Leadership Models
Chapter 8: Team Dynamics
Group Behaviors
Group Disruptive Behaviors
Individual Disruptive Behaviors
Leading Group Discussions
Facilitation Behaviors to Avoid
Conflict Management
Coaching
Mentoring
Intervention Strategies
Meeting Management
Team Decision-Making Methods
Consensus-Building
Nominal Group Technique (NGT)
Multi-Voting
The Vroom-Yetton Decision-Making Model
Chapter 9: Team Training
Needs Assessment
The ADDIE Training Development Model
Lean Learning Model
The Importance of a Training Needs Analysis
The Training Matrix
The Importance of Training Plans
Components of an Effective Training Plan
Applying the Training Plan.
Developing Training Materials and Resources
Delivery
Adult Learning Theory
Assumptions About Adult Learners
Characteristics That Affect Adult Learners
The Forgetting Curve
Delivery Modalities
In-Person Learning
Online Learning
Blended Learning
On-the-Job Training (OJT)
Job Aids
Soft Skills
Delivery Methods
Lectures and Presentations
Discussion Format
Experiential Training
Case Studies
Workbooks
Instructional Games, Simulations, and Role-Playing
Evaluation
Data Collection Methods
The Kirkpatrick Evaluation Model
Part IV: Define
Chapter 10: Voice of the Customer
Customer Identification
Customer Data Collection
Data Validity and Reliability
Designing a Data Collection System
Customer Requirements
Critical To X (CTX) Requirements
Critical-to-Quality Flow-Down
Quality Function Deployment
Suppliers-Inputs-Process-Outputs-Customers (SIPOC)
Kano Model
Chapter 11: Business Case and Project Charter
Business Case
Problem Statement
Goals and Objectives
Project Team
Project Scope
Dimensional Method
Functional Method
Project Plan
Charter Housekeeping Considerations
Project Performance Measurements
Project Charter Review
Chapter 12: Project Management (PM) Tools
Gantt Charts
Tollgate Reviews
Work Breakdown Structure (WBS)
Raci Model (Responsible, Accountable, Consulted, and Informed)
Chapter 13: Analytical Tools
Affinity Diagrams
Tree Diagrams
Matrix Diagram
Prioritization Matrix
Activity Network Diagram
Process Decision Program Chart (PDPC)
Interrelationship Digraph (ID)
Part V: Measure
Chapter 14: Process Characteristics
Process Flow Metrics
Hidden Factory
Process Analysis Tools
Flowcharts
Process Maps
Categorizing and Classifying Process Input Variables.
Gaining Insights from the Process Map
Value Stream Maps
Current State
Future State
Work Instructions
Spaghetti Diagrams
Gemba Walk
Chapter 15: Data Collection
Types of Data
Qualitative and Quantitative Data
Discrete and Continuous Data
Measurement Scales
Sampling
Sampling Concepts
Types of Sampling
Simple Random Sampling
Stratified Sampling
Systematic Sampling
Subgroup Sampling
Cluster Sampling
Block Sampling
Determining the Sample Size
What Makes a Good Sampling Design?
Data Collection Plans and Methods
Establishing an Operational Definition
Data Integrity
Importance of Data Accuracy
Minimizing Poor Data Accuracy
Common Data Collection Points
Data Processing Tools
Check Sheets
Data Normalization
Collecting Seasonal Data
Data Collection Strategies
Chapter 16: Measurement Systems
Measurement System Analysis (MSA)
Terminology
Guidelines for Determining Whether a Measurement System Is Acceptable
Components of a Measurement System
Types of Measurement Systems Analysis
AIAG Method
ANOVA Method
Control Chart Method
Attribute Agreement Analysis
Attribute Gage Study-Analytic Method
Measurement Systems Across the Organization
Metrology
Chapter 17: Basic Statistics
Basic Statistical Terms
Central Limit Theorem
Descriptive Statistics
Measures of Central Tendency
Measures of Dispersion
Other Useful Descriptive Statistics
Graphical Methods
Frequency Distribution
Histogram
Box-and-Whisker Plot
Scatter Plots
Normal Probability Plot
Constructing a Normal Probability Plot
Interpreting Normal Probability Plots
Stem-and-Leaf Diagram
Valid Statistical Conclusions
Chapter 18: Probability
Basic Concepts
Events, Trials, and Outcomes
Classical versus Empirical Probability.
Unions and Intersections
Complement Rule
Independence
Mutually Exclusive Events
Conditional Probability
Multiplication Rule
Addition Rule
Counting Techniques
Factorial
Permutations
Combinations
Configurations
Common Distributions
Binomial Distribution
Binomial Probability Mass Function
Binomial Parameters, Expected Value, and Variance
Poisson Distribution
Poisson Probability Mass Function
Poisson Parameters, Expected Value, and Variance
The Normal Distribution
Normal Probability Density Function
Normal Distribution Parameter Estimators
Uses and Applications
Normal Distribution Connection to Statistical Process Control
The Standard Normal Distribution
Standard Normal Probability Density Function
Areas Under the Curve
Using the Cumulative Standard Normal Table
Student's t Distribution
Student's t Probability Density Function
Distribution Shape
Using the Student's t Table
Chi-Square Distribution
Chi-Square Probability Density Function
Using the Chi-Square Distribution Table
The F Distribution
F Probability Density Function
Using the F Distribution Table
Additional Distributions
Hypergeometric Distribution
Hypergeometric Probability Mass Function
Parameters, Expected Value, and Variance
Bivariate Normal Distribution
Exponential Distribution
Probability Density Function
Memoryless Property of the Exponential Distribution
Exponential Connection to the Poisson Distribution
Lognormal Distribution
Uses and Applications.
Weibull Distribution.
Notes:
Description based on print version record.
Other Format:
Print version: McShane-Vaughn, Mary The ASQ Certified Six Sigma Black Belt Handbook
ISBN:
9781523155927
1523155922
9781636940250
1636940250
9781636940243
1636940242

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