This SigmaXL® and Lean Six Sigma book provides the particulars for executing SigmaXL functions in a comprehensive Lean Six Sigma DMAIC (define-measure-analyze-improve-control) roadmap, focusing on enhancing Y process-output responses.
In SigmaXL and Lean Six Sigma, over 50 dataset references show using a free software app for process performance tracking. This software app provides insight not possible with traditional metric reporting techniques. A table of numbers, red-yellow-green scorecards, and process capability Cp and Cpk metrics (traditional metric reporting practices) have fundamental issues that this book methodology resolves.
Over 200 figures provided in this book illustrate software inputs and outputs.
This book offers:
- A clickable Lean Six Sigma DMAIC roadmap for process improvement that integrates the use of Six Sigma and Lean tools so that there is the use of the right tool at the right when undertaking process improvement efforts
- A technique for illustrating and enumerating at a high level (30,000-foot-level) the paybacks from process improvement efforts
- A method for selecting Lean Six Sigma improvement projects so that undertaken projects benefit the overall organization’s financials
- A process improvement system for businesses that goes beyond traditional Lean Six Sigma and reporting of performance metrics (e.g., red-yellow-green scorecards and a table of numbers)
- How-to direction on benefitting from the wise application of statistical and non-statistical techniques
- Innovative use of DOE (Design of Experiments) for transactional and manufacturing situations
- Advice on how organizations can resolve issues that commonly occur with: Lean Six Sigma deployments, commonplace control charts, and reporting techniques for process capability
- A better approach than traditional AQL testing and reporting techniques
Provided in this SigmaXL and Lean Six Sigma book is an all-inclusive 9-step system that leadership can use to resolve elephant-in-the-room issues in management, such as:
- Lack of achievement of business goals
- Scorecards leading to unhealthy or destructive behaviors
- Day-to-day firefighting of problems
- Improvement projects and lean kaizen events consume a lot of resources; however, they typically do not provide a quantifiable benefit of the effort to the whole-business financials
- Generic business strategies that are difficult to translate into organizational work situations
- Deployment of Lean Six Sigma deployments that have improvement projects that often do not have timely completion and make questionable financial claims
SigmaXL and Lean Six Sigma describe how to use and application of the following tools in Minitab as part of a DMAIC
- Descriptive statistics
- Time-series plots
- X-bar and R-control chart
- Histogram
- Visualization of data
- Dot plot
- P-chart
- Hypothesis testing
- Correlation
- Simple regression
- Pareto chart
- Probability plot
- Process capability indices
- Two factor ANOVA
- 30,000-foot-level reports
- Cause-and-effect diagram
- Multi-vari chart
- Analysis of Means (ANOM)
- Inferences: continuous data
- Inferences: attribute data
- Residuals
- Variance components
- Multiple regression
- Comparing two samples
- General Linear Model (GLM)
- Design of Experiments (DOE)
- Single-factor Analysis of Variance (ANOVA)
- Response surface methodology (RSM)
- Demonstration of process metric output response improvement from a project
- Binary Logistic regression
- Control phase – maintain the gain
This book shows how to implement (in one system) Deming’s management techniques, ISO 9000, Baldrige award criteria, and Shingo Prize criteria.