Process Improvement Using Six Sigma: A DMAIC Guide
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.
What people are saying - Write a review
We haven't found any reviews in the usual places.
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 Define phase DMAIC process improvement 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 mOld process Normal probability plot normally distributed null hypothesis H0 one-way ANOVA output P-Value Pareto chart pellet hardness experiment percent confidence level Phase Checklist plot for gluten plot for pellet prediction equation problem Process capability process improvement methodology process improvement team process map process sigma R-sq adjusted reject the null rerun the analysis residuals Response optimizer SIPOC diagram Six Sigma software testing specification limit standard deviation step t-test Table Tukey test two-way ANOVA two-way interaction variable data variation X-bar