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
APPENDIX E PROCESS MAPPING
APPENDIX F VENDORS
REFERENCES AND FURTHER READING
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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
Page 369 - FRs are related in such a way that a specific DP can be adjusted to satisfy its corresponding FR without affecting other functional requirements.
Page 357 - First, a researcher may conclude that the null hypothesis is false, when, in fact, it is true (eg, conclude that a difference exists when it does not).
Page 40 - ... quality, reducing production and delivery lead times, and reducing other costs (such as those associated with machine setup and equipment breakdown). In a JIT system, underutilized (excess) capacity is used instead of buffer inventories , to hedge against problems that may arise. JIT applies primarily to repetitive manufacturing processes in which the same products and components are produced over and over again. The general idea is to establish flow processes (even when the facility uses a jobbing...
Page 59 - Verify) - data driven quality strategy for designing product and processes; this is an integral part of a Six Sigma Quality Initiative - DFSS (Design For Six Sigma) - unlike the DMAIC methodology, the phases or steps of DFSS are not universally recognized or defined - almost every company or training organization will define DFSS differently; a company might tailor to suit its business, industry and culture, or it might implement the version of DFSS used by the consulting company assisting in its...
Page 349 - Measures of central tendency are measures of the location of the middle or the center of a distribution. The mean is the most commonly used measure of central tendency. The...
Page 3 - The transactions include entering and delivering orders, recording payments, checking the status of orders, and monitoring the level of stock at the warehouses.
Page 46 - In cellular manufacturing, equipment and workstations are arranged in a sequence that supports a smooth flow of materials and components through the process, with minimal transport or delay.
Page 40 - ... used instead of buffer inventories to hedge against problems that may arise. JIT applies primarily to repetitive manufacturing processes in which the same products and components are produced over and over again. The general idea is to establish flow processes (even when the facility uses a jobbing or batch process layout) by linking work centers so that there is an even, balanced flow of materials throughout the entire production process, similar to that found in an assembly line. To accomplish...
Page 357 - II error is an error only in the sense that an opportunity to reject the null hypothesis correctly was lost.
Page 79 - A statistical technique that is concerned with fitting relationships between a dependent variable, y, and one or more independent variables, x\, x2, . . . , usually by the method of 'least squares.