Six Sigma Case Studies with Minitab Front Cover

Six Sigma Case Studies with Minitab

  • Length: 318 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2014-02-06
  • ISBN-10: 1482205572
  • ISBN-13: 9781482205572
  • Sales Rank: #2687011 (See Top 100 Books)
Description

What happens when one of the most widely used quality improvement methodologies meets the world’s leading statistical software for quality improvement? Packed with case studies in a variety of sectors, including health care, manufacturing, airlines, and fast food restaurants, Six Sigma Case Studies with Minitab® shows you how to maximize the quality analysis and improvement tools available in Minitab® for your Six Sigma projects.

Highly illustrated, the book includes detailed steps and more than 380 screenshots that explain how to use:

  • Confidence Interval Estimation
  • Hypothesis Testing
  • Chi-Square Analysis
  • Process Capability Analysis
  • Binary Logistic Regression
  • Item Analysis
  • Cluster Analysis
  • Mixture Design and Analysis of Experiments
  • Multivariate Analysis
  • Pareto Charts
  • Cause-and-Effect Diagram
  • Gage Repeatability and Reproducibility Analysis
  • Taguchi Design and Analysis of Experiments
  • Factorial Design and Analysis of Experiments
  • Statistical Control Charts

The case studies demonstrate the wide range of sectors and uses for Six Sigma and Minitab®. The screenshots provide exceptional detail and the book includes explanations for many Six Sigma terms and an appendix with the contents of the Minitab® worksheets that are referred to in most of the chapters. These features and more give you the tools to meet the challenges of continuous improvement expected in today’s marketplace.

Table of Contents

Section I Background
Chapter 1. Introduction to Six Sigma Quality
Chapter 2. Quality Analysis and Improvement Tools/Techniques Used

Section II Six Sigma Case Studies
Chapter 3. Confidence Intervals to Assess Variation in Fat Content
Chapter 4. Hypothesis Testing for Quality Control at a Manufacturing
Chapter 5. Chi-Square Analysis to Verify Quality of Candy Packets
Chapter 6. Process Capability Analysis at a Manufacturing Company
Chapter 7. Binary Logistic Regression to Predict Customer Satisfaction
Chapter 8. Item Analysis and Cluster Analysis to Gather “Voice of the Customer” (VOC) Data from Employees at a Service Firm
Chapter 9. Mixture Designs to Optimize Pollution Level and Temperature of Fuels
Chapter 10. Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center
Chapter 11. Pareto Chart and Fishbone Diagram to Minimize Recyclable Waste Disposal in a Town
Chapter 12. Measurement System Analysis at a Medical Equipment Manufacturer
Chapter 13. Taguchi Design to Improve Customer Satisfaction of an Airline Company
Chapter 14. Factorial Design of Experiments to Optimize a Chemical Process
Chapter 15. Chi-Square Test to Verify Source Association with Parts Purchased and Products Produced

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