Design for Six Sigma Statistics

In today's 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.In today's competitive environment, companies can no longer produce goods and services that are merely good with low defect levels but they must be near-perfect. This rigorous mathematical roadmap provides sophisticated Six Sigma practitioners with the statistical tools necessary for rooting out and solving problems associated with product or service design. Robust Engineering Concepts Failure Mode and Effects Analysis Gap Analysis: Audits and Metrics Design of Experiments Step-by-step MINTAB instructions with Screen ShotsRobust Engineering ConceptsFailure Mode and Effects AnalysisDesign for X (DFX)Gap Analysis: Audits and MetricsDesign of ExperimentsStep by Step MINTAB Instructions With Screen Shots