The ASQ Certified Six Sigma Green Belt Handbook

Name: The ASQ Certified Six Sigma Green Belt Handbook
Brand: ASQ Quality Press
Price: 146.99 EUR
Availability: OnlineOnly

Roderick A. Munro Govindarajan Ramu Daniel J. Zrymiak(Herausgeber*in)

ASQ Quality Press

3. Auflage

Erschienen am 30. Juni 2022

634 Seiten

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Beschreibung

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Inhalt

Cover
Title page
CIP data
Table of Contents
List of Figures and Tables
Preface
Acknowledgments
Part I Overview: Six Sigma and the Organization
Chapter 1 Six Sigma and Organizational Goals
Value of Six Sigma
Why Use Six Sigma versus Other Methodologies?
How Six Sigma Philosophy and Goals Should Be Applied
The Lead-Up to the Six Sigma Methodology
Modern Six Sigma
Quality Pioneers
Processes
Business Systems
Process Inputs, Outputs, and Feedback
Significance of Six Sigma
A Green Belt's Role
Potential Tasks
DMAIC Model
The Six Sigma Road Map
Cost-Benefit Analysis (Cost of Quality, Quality Cost, Cost of Poor Quality, Cost of Current Quality)
Organizational Goals and Six Sigma Projects
Linking Projects to Organizational Goals
Organizational Drivers and Metrics
Key Drivers
Voice of the Customer (VOC)
Balanced Scorecard
Scoreboard/Dashboard
Key Performance/Process Indicator (KPI)
Chapter 2 Lean Principles in the Organization
Lean Concepts
Value
Some of the Top Lean Tools
Waste (Muda)
Additional Forms of Waste
Value Stream Mapping
Value Stream
Chapter 3 Design for Six Sigma (DFSS) Methodologies
Road Maps for DFSS
IDOV
DMADV
Basic Failure Mode and Effects Analysis (FMEA)
Why Do FMEAs?
FMEA Forms/Tables
Steps in Performing FMEA
Severity, Occurrence, and Detection Tables
Risk Priority Number
Do's
Don'ts
Design FMEA and Process FMEA
Differences between Design and Process FMEA
Part II Define Phase
Overview
Chapter 4 Project Identification
Project Selection
Process Elements
Benchmarking
Process Inputs and Outputs
Systems Thinking
Owners and Stakeholders
Chapter 5 Voice of the Customer (VOC)
Customer Identification
Customer Data
Customer Requirements
Application
Critical to Quality Factors
Kano Model
Chapter 6 Project Management Basics
Project Methodology
Overview of Management Theories and Styles
Project Charter
Project Planning
Project Scope
Project Metrics
Project Planning Tools
Work Breakdown Structure (WBS)
Toll Gate Review
Project Documentation
Project Risk Analysis and Management
Types of Risks
The Risk Management Process
Business Continuity Planning
Project Closure
Chapter 7 Management and Planning Tools
Activity Network Diagram
Advanced Quality Planning
Affinity Diagram
Auditing
Benchmarking
Brainstorming
Cause-and-Effect Diagram (Fishbone, Ishikawa Diagram)
Check Sheets
Customer Feedback
Failure Mode and Effects Analysis (FMEA)
Flowchart
Focus Groups
Force-Field Analysis
Gantt Chart
Graphical Charts, Control Charts, and other Statistical Tools
Variables Charts
Attributes Charts
Charts for Other Kinds of Data
Interrelationship Diagram (Digraph)
Interviews
Matrix Diagram
Multivoting
Nominal Group Technique
PDCA (PDSA and SDCA)
Prioritization Matrix
Problem Solving
Process Decision Program Chart
Project Evaluation and Review Technique (PERT)
Quality Function Deployment
Risk Priority Number
Sampling Plan
Suppliers-Inputs-Process-Outputs-Customers (SIPOC) Diagram
Tree Diagram
Written Survey
Tool Review
SWOT
Chapter 8 Business Results for Projects
Process Performance
Cost of Poor Quality (COPQ)
Communication
Chapter 9 Team Dynamics and Performance
Team Basics
Team Formation
Virtual Teams
Team Stages and Dynamics
Stage 1: Forming
Stage 2: Storming
Stage 3: Norming
Stage 4: Performing
Stage 5: Transitioning/Adjourning
Stage 6: Recognition
Team Leadership
Negative Team Dynamics
Team Roles and Responsibilities
RACI
Team Tools and Decision-Making Concepts
Brainstorming
Decision-making Concepts
Nominal Group Technique
Multivoting
Team Communication
Part III Measure Phase
Chapter 10 Process Analysis and Documentation
Process Maps and Flowcharts
Written Procedures and Work Instructions
Process Inputs and Outputs
Relationship Diagram
Chapter 11 Probability and Statistics
Basic Probability Concepts
Simple Events Probability
Compound Events Probability
Relations between Events
Mutually Exclusive Events
The Multiplicative Law
Permutations and Combinations
Central Limit Theorem
Definition and Description
Use of Central Limit Theorem in Control Charts
Use of Central Limit Theorem in Hypothesis Testing
Drawing Valid Statistical Conclusions
Chapter 12 Statistical Distributions
Binomial
Normal Approximations of the Binomial
Poisson Distribution
Normal Distributions
Chi-Square Distribution
Degrees of Freedom
t-Distribution
F-Distribution
Chapter 13 Collecting and Summarizing Data
Types of Data and Measurement Scales
Sampling and Data Collection Plans and Methods
Techniques for Assuring Data Accuracy and Integrity
Types of Sampling
Check Sheets
Descriptive Statistics
Cumulative Frequency Distribution
Graphical Methods
Stem-and-Leaf Plot
Box Plots
The Run Chart
Scatter Diagrams
Normal Probability Plots
Weibull Plots
Chapter 14 Measurement System Analysis
Chapter 15 Process and Performance Capability
Process Performance vs. Process Specifications
Test Results for X Chart of Length
Test Results for R Chart of Length
Process Capability Studies
Steps for Process Capability Studies
Sampling with Respect to Statistical Process Control
Process Capability (Cp, Cpk) and Process Performance (Pp, Ppk) Indices
Process Capability Calculations
Short-Term vs. Long-Term Capability and Sigma Shift
Short-Term vs. Long-Term Capability
Part IV Analyze Phase
Overview
Chapter 16 Exploratory Data Analysis
Multi-Vari Studies
Procedure for Multi-Vari Sampling Plan
Correlation and Linear Regression
Correlation
Correlation versus Causation
Correlation Coefficient
Simple Regression
Confidence Interval for the Regression Line
Multiple Linear Regression
Chapter 17 Hypothesis Testing
Basics
The Null and Alternative Hypotheses
Types of Errors
One-Tail Test
Two-Tail Test
Required Sample Size
Statistical and Practical Significance
What Is a Desired Power?
When to Calculate Statistically Significant Sample Size
How to Calculate Statistically Significant Sample Size
Power and Sample Size
Tests for Means, Variances, and Proportions
Test for Means
Hypothesis Tests for Means
Student's t-Test
Confidence Intervals for the Mean
Test for Variance
Confidence Intervals for Variation
Test for Proportion
Confidence Intervals for Proportion
One Population Proportion (p-Test)
Paired-Comparison Tests
Two-Mean, Equal Variance t-Test
Two-Mean, Unequal Variance t-Test
Paired t-Test
F-Test
Single-Factor Analysis of Variance (ANOVA)
One-Way ANOVA
Chi Square
Procedure for Chi-Square (?2) Test
Contingency Tables
Parametric and Nonparametric Tests
Chapter 18 Additional Analysis Methods
Gap Analysis
5 Why Analysis (Why-Why Analysis
Fault Tree Analysis
Part V Improve Phase
Chapter 19 Design of Experiments (DOE)
Basic Terms
Factor
Levels
Treatment
Block
Experimental Design
Experimental Error
Planned Grouping
Randomization
Replication
Repetition
Variables
Effects
DOE Overview-Planning and Organizing Experiments
DOE Graphs and Plots
Main Effects
Interaction Effects
Balanced Designs
Effects and Confounding
Design and Analysis of One-Factor Experiments
Design and Analysis of Full Factorial Experiments
Design and Analysis of Two-Level Fractional Factorial Experiments
Two-Level Fractional Factorial Experiment Procedure
Two-Level Fractional Factorial Experiment Conclusions
Testing Main Effects and Interactions
Design of Experiments Considerations
Chapter 20 Implementation Planning
Proof of Concept: Ideation Toward Feasibility
Try-Storming: Rapid Actions from Brainstorming
Pilot Tests: Readiness for Deployment
Implementation Planning with Integrated Approaches
Chapter 21 Lean Tools
Waste Elimination
Relevance of Lean to Six Sigma
Comparison of Lean to Traditional Systems
Examples of Lean Tools
Pull Systems
Mistake-Proofing (Error-Proofing or Poka-Yoke
5S
Visual Factory
Kaizen
Kanban
Total Productive Maintenance
Standard Work
Cycle-Time Reduction
Standard Work
Process Design
SIPOC
Process Stability
Process Capability
Process Capacity
Other Factors
Work Flow Analysis
Countermeasure Activities
Quick Changeover/Setup Reduction
Cycle Time Reduction Through Constraints Management
Kaizen and Kaizen Blitz
Incremental Continuous Improvement (Kaizen)
Kaizen Blitz
Breakthrough Continuous Improvement (Kaikaku)
Organizing for Kaizen
Kaizen Events
Part VI Control Phase
Chapter 22 Statistical Process Control (SPC)
SPC Basics
Statistical Process Control
SPC Theory
Objectives and Benefits
Process Capability: Special versus Common Causes
Process Data: Discrete versus Continuous
Discrete Data (Attributes Control Charts)
Continuous Data (Variables Control Charts)
Process Behavior Charts (Control Charts)
Rational Subgrouping
Rational Subgrouping Method
Rational Subgrouping Approach
Control Charts
Selection and Application of Control Charts
Variables Charts
Control Limits
X and R Control Charts
X and s Control Charts
Individuals and Moving Range Control Charts
Median Control Charts
Attributes Control Charts
p Control Charts
np Control Charts
u Control Chart
c Control Charts
Analysis of Control Charts
Chapter 23 Sustain Improvements
Control Plan
Examples of Process Controls
Dynamic Control Planning
Gage Control Plan
Standard Operating Procedures
Continual Improvement
Process Improvement
Document Control
Impact of Document Control on Improvements
Training Plans
Training Plans
Needs Analysis and Business Case
Strategic Planning, Learning Experiences
Documentation, Facilitation, and Provision
Training Validation and Confirmation
Reinforcement of Concepts
Promoting Behavioral and Performance Changes
Audits
First-, Second-, and Third-Party Audits
Audit Methods and Six Sigma
Plan-Do-Check-Act (PDCA)
Plan-Do-Check-Act
Sustaining Improvements with PDSA and SDSA
Chapter 24 Total Productive Maintenance
Total Productive Maintenance (TPM)
Loss Description
Overall Equipment Effectiveness (OEE)
Visual Factory
Visual Management
Visual Workplace
Jidoka
Part VII Appendices
Appendix A ASQ Code of Ethics
Appendix B Six Sigma Green Belt Body of Knowledge Map 2014-2022
Appendix C ASQ Certified Six Sigma Green Belt (CSSGB) Body of Knowledge (2022)
Appendix D Control Limit Formulas
Appendix E Constants for Control Charts
Appendix F Areas Under Standard Normal Curve
Appendix G F Distributions
Appendix H Binomial Distribution
Appendix I Chi-Square Distribution
Appendix J Exponential Distribution
Appendix K Poisson Distribution
Appendix L Values of the t-Distribution
Appendix M Acronym List
Appendix N The Quality Profession, Historically Speaking
Appendix O Rice and Munro Training Evaluation Model
Endnotes
Glossary
References
Index

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