In todayas competitive environment, companies can no longer produce goods and services that are merely good with low defect levels, they have to be near-perfect. Design for Six Sigma Statistics is a rigorous mathematical roadmap to help companies reach this goal. As the sixth book in the Six Sigma operations series, this comprehensive book goes beyond an introduction to the statistical tools and methods found in most books but contains expert case studies, equations and step by step MINTAB instruction for performing: DFSS Design of Experiments, Measuring Process Capability, Statistical Tolerancing in DFSS and DFSS Techniques within the Supply Chain for Improved Results. The aim is to help you better diagnosis and root out potential problems before your product or service is even launched.AIAGaAutomotive Industry Action Group (1992), Statistical Process Control Reference Manual, http://www.aiag.org ... Failure Mode and Effects Analysis ( FMEA), Third Edition http://www.aiag.org AIAGaAutomotive Industry Action Group (2002), ... ASQaAmerican Society for Quality, Statistics Division (2005), Glossary and Tables for Statistical Quality Control, 4th ed., Milwaukee, WI: ASQ Quality Press.

Title | : | Design for Six Sigma Statistics |

Author | : | Andrew Sleeper |

Publisher | : | McGraw Hill Professional - 2005-12-23 |

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