Minitab® and Lean Six Sigma

Minitab® and Lean Six Sigma
A Guide to Improve Business Performance Metrics
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Artikel-Nr:
9798987369715
Veröffentl:
2022
Einband:
Paperback
Erscheinungsdatum:
07.12.2022
Seiten:
322
Autor:
Forrest W. Breyfogle
Gewicht:
814 g
Format:
280x216x18 mm
Sprache:
Englisch
Beschreibung:

Forrest Breyfogle is an ASQ Fellow and CEO of Smarter Solutions. He has authored over a dozen books. Forrest's Management and Leadership 2.0 two-book set provides in a novel-written-format explanation of an enhanced business management system that addresses the challenges of the day. Mr. Breyfogle was named Quality Professional of the Year for 2011 by Quality Magazine and in 2012 was awarded alumni of the year by Missouri University of Science and Technology. He received the prestigious ASQ Crosby Medal for an earlier book, Implementing Six Sigma and the 2013 Lean & Six Sigma World Conference Leadership Award.
This 377 page bookShows the execution of Minitab functions in a detailed Lean Six Sigma Define-Measure-Analyze-Improve-Control (DMAIC) roadmap to enhance the Y response for process improvement projectsShows 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 of the following tools in Minitab as part of 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
Inferences: 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


Offers a methodology to implement Deming's management philosophy, ISO 9000, Baldrige award criteria & Shingo Prize criteria.

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