Simulation-Based Lean Six-Sigma and Design for Six-Sigma

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.