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| Preface | |
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| Introduction | |
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| Six Sigma Implementation and Management | |
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| Building the Six Sigma Infrastructure | |
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| What is Six Sigma? | |
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| Implementing Six Sigma | |
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| Change agent compensation and retention | |
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| Six Sigma Goals and Metrics | |
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| Attributes of good metrics | |
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| Six Sigma versus traditional three sigma performance | |
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| The balanced scorecard | |
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| Strategy deployment plan | |
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| Information systems requirements | |
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| Dashboard design | |
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| Setting organizational key requirements | |
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| Creating Customer-Driven Organizations | |
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| Elements of customer-driven organizations | |
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| Surveys and focus groups | |
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| Calculating the value of retention of customers | |
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| Kano model of customer expectations | |
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| Quality function deployment (QFD) | |
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| The Six Sigma process enterprise | |
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| Using QFD to link Six Sigma projects to strategies | |
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| Linking customer demands to budgets | |
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| Training for Six Sigma | |
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| Training needs analysis | |
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| The strategic training plan | |
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| Six Sigma Teams | |
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| Six Sigma teams | |
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| Process improvement teams | |
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| Work groups | |
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| Other self-managed teams | |
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| Team dynamics management, including conflict resolution | |
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| Facilitation techniques | |
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| Team performance evaluation | |
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| Team recognition and reward | |
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| Selecting and Tracking Six Sigma Projects | |
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| Choosing the right projects | |
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| Analyzing project candidates | |
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| Tracking Six Sigma project results | |
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| Six Sigma Tools and Techniques | |
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| Introduction to DMAIC and Other Improvement Models | |
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| DMAIC, DMADV and learning models | |
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| The Define Phase | |
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| Problem Solving Tools | |
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| Process mapping | |
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| Check sheets | |
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| Pareto analysis | |
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| Cause and effect diagrams | |
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| 7M tools | |
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| The Measure Phase | |
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| Basic Principles of Measurement | |
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| Scales of measurement | |
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| Reliability and validity of data | |
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| Overview of statistical methods | |
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| Principles of statistical process control | |
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| Measurement Systems Analysis | |
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| R&R studies for continuous data | |
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| Attribute measurement error analysis | |
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| Repeatability and pairwise reproducibility | |
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| The Analyze Phase | |
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| Knowledge Discovery | |
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| Knowledge discovery tools | |
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| Establishing the process baseline | |
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| SIPOC | |
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| Statistical Process Control Techniques | |
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| Statistical process control (SPC) | |
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| EWMA | |
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| Process Capability Analysis | |
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| Process capability analysis (PCA) | |
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| Estimating process yield | |
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| Statistical Analysis of Cause and Effect | |
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| Testing common assumptions | |
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| Regression and correlation analysis | |
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| Analysis of categorical data | |
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| Non-parametric methods | |
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| The Improve Phase | |
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| Managing Six Sigma Projects | |
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| Useful project management tools and techniques | |
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| Project charter | |
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| Work breakdown structures | |
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| Feedback loops | |
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| Performance measures | |
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| Cost considerations in project scheduling | |
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| Project management implementation | |
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| Risk Assessment | |
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| Reliability and safety analysis | |
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| Failure mode and effect analysis (FMEA) | |
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| Statistical tolerancing | |
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| Design of Experiments (DOE) | |
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| Terminology | |
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| Power and sample size | |
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| Design characteristics | |
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| Types of design | |
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| Examples of applying common DOE methods using software | |
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| Empirical model building and sequential learning | |
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| Data mining, artificial neural networks and virtual process mapping | |
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| The Control Phase | |
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| Maintaining Control After the Project | |
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| Business process control planning | |
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| Using SPC for ongoing control | |
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| Process control planning for short and small runs | |
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| Preparing the short run process control plain (PCP) | |
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| PRE-Control | |
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| Beyond DMAIC | |
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| Design for Six Sigma (DFSS) | |
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| Preliminary steps | |
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| Define | |
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| Measure | |
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| Analyze | |
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| Design | |
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| Verify | |
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| Lean Manufacturing and Six Sigma | |
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| Introduction to Lean and muda | |
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| What is value to the customer? | |
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| What is the value stream? | |
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| How do we make value flow? | |
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| How do we make value flow at the pull of the customer? | |
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| How can we continue towards perfection? | |
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| Becoming Lean: A tactical perspective | |
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| Six Sigma and Lean | |
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| Appendix | |
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| Glossary of basic statistical terms | |
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| Area under the standard normal curve | |
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| Critical values of the t-distribution | |
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| Chi-square distribution | |
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| F distribution ([alpha] = 1%) | |
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| F distribution ([alpha] = 5%) | |
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| Poisson probability sums | |
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| Tolerance interval factors | |
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| Durbin-Watson test bounds | |
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| y factors for computing AOQL | |
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| Control chart constants | |
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| Control chart equations | |
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| Table of d*[subscript 2] values | |
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| Power functions for ANOVA | |
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| Factors for short run control charts for individuals, X-bar, and R charts | |
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| Significant number of consecutive highest or lowest values from one stream of a multiple-stream process | |
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| Sample customer survey | |
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| Process [sigma] levels and equivalent PPM quality levels | |
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| Black Belt effectiveness certification | |
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| Green Belt effectiveness certification | |
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| AHP using Microsoft Excel | |
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| References | |
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| Index | |