Process Improvement Using Six Sigma: A DMAIC GuideQuality Press, 2009 M01 1 - 110 pages The purpose of this book is to provide the practitioner with the necessary tools and techniques with which to implement a systematic approach to process improvement initiatives using the Six Sigma methodology. |
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95 percent confidence action items alternate hypothesis ambulance response Analysis of variance Analyze phase ANOVA assumptions Appraiser Attribute data average Basic Stat binder calculated P value Control phase control plan cook temperature costs count data Cube plot defects Define phase DMAIC process improvement document example experiment at alpha factor is significant FMEA Gage R&R gluten dissolution experiment graph identified input factors Interactions plot internal failure layout Main effects plot Measure phase Minitab Normal probability plot normally distributed old process one-way ANOVA operators output P-Value Pareto chart pellet hardness experiment percent confidence level Phase Checklist plot for gluten plot for pellet pressure problem Process capability process improvement methodology process improvement team process map process sigma R-sq adjusted regression reject the null Response optimizer sample Setup SIPOC diagram Six Sigma specification limit standard deviation Standardized Effect step t-test Table tool Tukey test two-way ANOVA two-way interaction variable data variation