The ASQ Certified Six Sigma Black Belt Handbook

Mary McShane-Vaughn

Description

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 points
The ASQ Certified Six Sigma Black Belt Handbook, Fourth Edition is also a valuable addition to any quality practitioner’s library.

Sujets

• Business
• Qualité, hygiène, sécurité, environnement
• Quality Control
• Quality control (disambiguation)
• Professional
• Economics
• CCT

Informations

• Publié par: ASQ Quality Press
• Date de parution: 11 janvier 2023
• Nombre de lectures: 0
• EAN13: 9781636940250
• Langue: English
• Poids de l'ouvrage: 4 Mo

Extrait

T HE ASQ C ERTIFIED S IX S IGMA B LACK B ELT H ANDBOOK
Fourth Edition
Mary McShane-Vaughn, editor
ASQExcellence
Milwaukee, Wisconsin
Published by ASQExcellence, Milwaukee, WI
Produced and distributed by Quality Press, ASQ, Milwaukee, WI
© 2022 by ASQExcellence
No part of this book may be reproduced in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher.
Publisher’s Cataloging-in-Publication Data
Names: McShane-Vaughn, Mary, editor.
Title: The ASQ certified six sigma black belt handbook , fourth edition / Mary McShane-Vaughn, Editor.
Description: Includes bibliographical references and index. | Milwaukee, WI: ASQExcellence, 2022.
Identifiers: LCCN: 2022947810 | ISBN: 978-1-63694-023-6 (hardcover) | 978-1-63694-025-0 (e-pub) | 978-1-63694-024-3 (pdf)
Subjects: LCSH Quality control--Statistical methods--Handbooks, manuals, etc. | BISAC BUSINESS & ECONOMICS / Quality Control | STUDY AIDS / Professional Classification: LCC TS156 .A87 2022 | DDC 658.4/013--dc23
ASQ advances individual, organizational, and community excellence worldwide through learning, quality improvement, and knowledge exchange.
Bookstores, wholesalers, schools, libraries, businesses, and organizations: Quality Press books are available at quantity discounts for bulk purchases for business, trade, or educational uses. For more information, please contact Quality Press at 800-248-1946 or [e-mail] .
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Printed in the United States of America
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For Mick, the next engineer in the family.
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 Stakeholder Analysis 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 Needs Assessment 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) Coaching 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 Uses and Applications Chi-Square Distribution Chi-Square Probability Density Function Distribution Shape Using the Chi-Square Distribution Table Uses and Applications The F Distribution F Probability Density Function Distribution Shape Using the F Distribution Table Uses and Applications Additional Distributions Hypergeometric Distribution Hypergeometric Probability Mass Function Parameters, Expected Value, and Variance Distribution Shape Uses and Applications Bivariate Normal Distribution Uses and Applications Exponential Distribution Probability Density Function Distribution Shape Memoryless Property of the Exponential Distribution Exponential Connection to the Poisson Distribution Uses and