BASEM EL-HAIK, PhD, is a Six Sigma and Design for Six Sigma consultant, author, and founder of Six Sigma Professionals, Inc., a firm providing Six Sigma and DFSS implementation, training, and consulting for industries ranging from financial services to high technology. Dr. El-Haik is a well-known author, consultant, and speaker on the subject. Throughout his career Dr. El-Haik trained, certified, coached, and mentored over 400 belts (Green Belts, Black Belts, and Master Black Belts) in DFSS and Six Sigma in both tracks: product and service (transactional). RAID AL-AOMAR, PhD, is Assistant Professor of Industrial Engineering at Jordan University of Science and Technology (JUST). Dr. Al-Aomar has worked for several years as a consultant on Simulation and Lean Manufacturing at General Motors and Ford Motor Company in Detroit and as an adjunct faculty member at Wayne State University.

PREFACE.

PART I SIX-SIGMA FUNDAMENTALS.

1 Six-Sigma Fundamentals.

1.1 Introduction.

1.2 Quality and Six-Sigma Defined.

1.3 Introduction to Process Modeling.

1.4 Introduction to Business Process Management.

1.5 Measurement Systems Analysis.

1.6 Process Capability and Six-Sigma Process Performance.

1.7 Overview of Six-Sigma Improvement: DMAIC.

1.8 Six-Sigma Goes Upstream: Design for Six-Sigma.

1.9 Summary.

2 Lean Six-Sigma Fundamentals.

2.1 Introduction.

2.2 Lean Six-Sigma Approach.

2.3 LSS-Enhanced DMAIC.

2.4 Lean Manufacturing.

2.5 Value Stream Mapping.

2.6 Lean Techniques.

2.7 Summary.

3 Design for Six-Sigma Fundamentals.

3.1 Introduction.

3.2 Transaction-Based Design for Six-Sigma.

3.3 Service Design for Six-Sigma.

3.4 Service DFSS: The ICOV Process.

3.5 Service DFSS: The ICOV Process in Service Development.

3.6 Summary.

PART II SIMULATION FUNDAMENTALS.

4 Basic Simulation Concepts.

4.1 Introduction.

4.2 System Modeling.

4.3 Simulation Modeling.

4.4 The Role of Simulation.

4.5 Simulation Software.

4.6 Summary.

5 Discrete Event Simulation.

5.1 Introduction.

5.2 System Modeling with DES.

5.3 Elements of Discrete Event Simulation.

5.4 DES Mechanisms.

5.5 Manual Simulation Example.

5.6 Computer DES Example.

5.7 Summary.

6 The Simulation Process.

6.1 Introduction.

6.2 Categories of Simulation Studies.

6.3 Systematic Simulation Approach.

6.4 Steps in a Simulation Study.

6.5 Example: Applying Simulation Process to a Hospital Emergency
Room.

6.6 Summary.

7 Simulation Analysis.

7.1 Introduction.

7.2 Terminating Versus Steady-State Simulation.

7.3 Determination of Simulation Run Controls.

7.4 Variability in Simulation Outputs.

7.5 Simulation-Based Optimization.

PART III SIMULATION-BASED SIX-SIGMA AND DESIGN FOR
SIX-SIGMA.

8 Simulation-Based Six-Sigma Road Maps.

8.1 Introduction.

8.2 Lean Six-Sigma Process Overview.

8.3 Simulation-Based Lean Six-Sigma Road Map.

8.4 Simulation-Based Design for a Six-Sigma Road Map.

8.5 Summary.

9 Simulation-Based Lean Six-Sigma Application.

9.1 Introduction.

9.2 3S-LSS Integrated Approach.

9.3 3S-LSS Case Study.

9.4 Summary.

10 Simulation-Based Design for Six-Sigma Application.

10.1 Introduction.

10.2 3S-DFSS Process.

10.3 3S-DFSS Case Study: Dental Clinic Redesign.

10.4 Summary.

11 Practical Guide to Successful Development of
Simulation-Based Six-Sigma Projects.

11.1 Introduction.

11.2 Characteristics of a 3S Application.

11.3 Ingredients for a Successful 3S Program.

11.4 Framework for Successful 3S Implementation.

11.5 3S Project Charter.

11.6 3S Software Tools.

APPENDIX A BASIC STATISTICS.

APPENDIX B RANDOM NUMBERS.

APPENDIX C AXIOMATIC DESIGN.

APPENDIX D TAGUCHI'S QUALITY ENGINEERING.

APPENDIX E PROCESS MAPPING.

APPENDIX F VENDORS.

REFERENCES AND FURTHER READING.

INDEX.