Simulation-based Lean Six-Sigma and Design for Six-Sigma
This is the first book to completely cover the whole body of knowledge of Six Sigma and Design for Six Sigma with Simulation Methods as outlined by the American Society for Quality. Both simulation and contemporary Six Sigma methods are explained in detail with practical examples that help understanding of the key features of the design methods. The systems approach to designing products and services as well as problem solving is integrated into the methods discussed.
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PART II SIMULATION FUNDAMENTALS
PART III SIMULATIONBASED SIXSIGMA AND DESIGN FOR SIXSIGMA
APPENDIX A BASIC STATISTICS
APPENDIX B RANDOM NUMBERS
APPENDIX C AXIOMATIC DESIGN
APPENDIX D TAGUCHIS QUALITY ENGINEERING
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3S-LSS approach analysis analyzing application assembly lines assembly process assessment average axiomatic design batch behavior buffer cellular manufacturing Chapter clinic concept continuous improvement cost CTQs CTSs cycle defects defined deployment Design for Six-Sigma design of experiments design parameters DFSS discrete event simulation distribution DMAIC effective El-Haik elements entities event example experimental design factors flow focus implementation inputs inventory Kaizen Kanban layout lean manufacturing lean measures lean techniques logic machine methods MINITAB model logic null hypothesis operations optimization outputs Pareto chart patients phase Phone problem process map production system quality function deployment random number real-world system reduce road map sample selected simulation model simulation replications simulation run simulation software simulation study software tools solution alternatives Stage statistics stochastic testing throughput time-based tion tollgate utilization value stream map variables warm-up period