SigmaXL(R) and Lean Six Sigma

This book:

• Shows the execution of SigmaXL software functions in a detailed Lean Six Sigma Define-Measure-Analyze-Improve-Control (DMAIC) roadmap to enhance the Y response for process improvement projects
• Shows use of a free software app for response-metric tracking that provides insight not possible with traditional metric reporting techniques
• Utilizes over 50 datasets to illustrate Y-response tracking from a process-output perspective and Y=f(X) analyses
• Discusses over 200 figures that illustrate software inputs and outputs
• Provides a clickable Lean Six Sigma Define-Measure-Analyze-Improve-Control (DMAIC) process-improvement roadmap that integrates the application of Lean and Six Sigma tools so that the right tool is used at the right time when undertaking process improvement efforts
• Shows a methodology for Lean Six Sigma improvement project selection so that the organization's big-picture benefits from the project′s completion
• Provides a method to statistically show and quantify at the 30,000-foot-level the benefits of process improvement efforts
• Offers a business process improvement system that goes beyond traditional Lean Six Sigma and the Balanced Scorecard
• Explains a method for executing and enhancing digital transformation efforts in an organization

This book provides direction on how organizations can resolve issues that commonly occur with:

• Traditional control charts and process capability reporting techniques
• AQL testing and reporting
• Lean Six Sigma deployments

This book provides direction on how organizations can benefit from the wise application of:

• Statistical and non-statistical techniques.
• Design of Experiments (DOE) in both manufacturing and transactional processes.

This book provides a comprehensive 9-step system that CEOs, presidents, general managers, executives, managers, leaders, practitioners, and others can use to resolve elephant-in-the-room management issues such as:

• Business goals not being met
• Scorecards leading to harmful, if not destructive, behaviors
• Persistent day-to-day firefighting problems
• Business strategies that are very generic and difficult to translate into organizational work environments
• Lean events and other improvement projects can consume many resources but often do not offer a quantifiable benefit to the business as a whole
• Lean Six Sigma process improvement deployments that have improvement projects, which are either not completed in a timely fashion or which make substantial financial claims that are questionable

This book describes the application and how to use the following tools in SigmaXL software within a Lean Six Sigma Define-Measure-Analyze-Improve-Control (DMAIC) roadmap

• Time-series plot
• Histogram
• Dot plot
• Descriptive statistics
• Pareto chart
• Probability plot
• X-bar and R control chart
• P-chart
• Process capability indices
• 30,000-foot-level reports
• Cause-and-effect diagram
• Visualization of data
• Multi-vari chart
• Hypothesis testing
• Inferences: continuous data
• Inferrences: attribute data
• Comparing two samples
• Demonstration of process metric output response improvement
• Variance components
• Correlation
• Simple regression
• Residuals
• Single factor ANOVA
• ANOM
• Two factor ANOVA
• Multiple regression
• Binary Logistic regression
• General Linear Model (GLM)
• Design of Experiments (DOE)
• Response surface methodology (RSM)
• Control phase – maintain the gain

This book offers a methodology to implement Deming's management philosophy and deliver a system for managing the needs of ISO 9000, Baldrige award criteria, and Shingo Prize criteria all at once.