Six Sigma Case Studies with Minitab®

Six Sigma Case Studies with Minitab®

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Features

  • Illustrates the application of Minitab® exclusively for Six Sigma projects using a number of case studies in a variety of industries
  • Teaches how to use a number of tools in Minitab® with detailed steps and screenshots
  • Very clearly shows how to use Minitab® for a number of Six Sigma projects with an assortment of process improvement goals in a variety of companies
  • Focuses exclusively on Six Sigma case studies
  • Covers Statistical Process Control, Taguchi Design, Measurement System Analysis, Plackett-Burman Design, etc.

Summary

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

Introduction to Six Sigma Quality
Definitions
     Defects Per Million Opportunities (DPMO)
          DPMO Example 1
          DPMO Example 2
          DPMO Example 3
DMAIC Approach
Book Outline
References

Quality Analysis and Improvement Tools/Techniques Used in This Book
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 Chart
Cause-and-Effect Diagram
Gage Repeatability and Reproducibility Analysis
Taguchi Design and Analysis of Experiments
Factorial Design and Analysis of Experiments
Statistical Control Charts
Normality Test
Analysis of Variance (ANOVA)
References

Section II Six Sigma Case Studies

Confidence Intervals to Assess Variation in Fat Content at a Fast-Food Restaurant
Define Phase
Measure Phase
Analyze Phase
Improve Phase
Control Phase

Hypothesis Testing for Quality Control at a Manufacturing Company
Define Phase
Measure and Analyze Phases
     Test 1
     Test 2
     Test 3
Improve and Control Phases

Chi-Square Analysis to Verify Quality of Candy Packets
Define Phase
Measure Phase
Analyze Phase
Improve and Control Phases

Process Capability Analysis at a Manufacturing Company
Define Phase
Measure Phase
Analyze Phase
Improve Phase
Control Phase

Binary Logistic Regression to Predict Customer Satisfaction at a Restaurant
Define Phase
Measure Phase
Analyze Phase
Improve and Control Phases

Item Analysis and Cluster Analysis to Gather "Voice of the Customer" (VOC) Data from Employees at a Service Firm
Define Phase
Measure Phase
Analyze Phase
Improve and Control Phases

Mixture Designs to Optimize Pollution Level and Temperature of Fuels
Define Phase
Measure Phase
Analyze Phase
Design and Verify Phases

Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center
Define Phase
Measure Phase
Analyze Phase
Improve Phase
Control Phase

Pareto Chart and Fishbone Diagram to Minimize Recyclable Waste Disposal in a Town
Define and Measure Phases
Analyze Phase
Improve and Control Phases

Measurement System Analysis at a Medical Equipment Manufacturer
Define Phase
Measure Phase
Analyze, Improve, and Control Phases

Taguchi Design to Improve Customer Satisfaction of an Airline Company
Define Phase
Measure Phase
Analyze Phase
Improve and Control Phases

Factorial Design of Experiments to Optimize a Chemical Process
Define Phase
Measure Phase
Analyze Phase
Improve and Control Phases

Chi-Square Test to Verify Source Association with Parts Purchased and Products Produced
Define Phase
Measure Phase
Analyze Phase
Improve and Control Phases

Appendix
Index

Author Bio(s)

Kishore K. Pochampally, PhD, is an associate professor of quantitative studies, operations and project management at Southern New Hampshire University (SNHU) in Manchester (NH). His prior academic experience is as a post-doctoral fellow at Massachusetts Institute of Technology (MIT) in Cambridge (MA). He earned a PhD in industrial engineering from Northeastern University in Boston. He teaches Six Sigma courses at SNHU and conducts Lean Six Sigma training at service organizations. He is a Six Sigma Black Belt (American Society for Quality) and a Project Management Professional (PMP®).

Surendra M. Gupta, PhD, PE,
is a professor of mechanical and industrial engineering and the director of the Laboratory for Responsible Manufacturing, Northeastern University. He earned his BE in electronics engineering from Birla Institute of Technology and Science, his MBA from Bryant University, and his MSIE and PhD in industrial engineering from Purdue University. He is a registered professional engineer in the state of Massachusetts. Dr. Gupta’s research interests are in the areas of production/ manufacturing systems and operations research. He is mostly interested in environmentally conscious manufacturing, reverse and closed-loop supply chains, disassembly modeling, and remanufacturing. He has authored or coauthored more than 450 technical papers published in books, journals, and international conference proceedings. His publications have been cited by thousands of researchers all over the world in journals, proceedings, books, and dissertations. He has traveled to all seven continents—Africa, Antarctica, Asia, Australia, Europe, North America, and South America—and presented his work at international conferences on six continents. Dr. Gupta has taught more than 100 courses in such areas as operations research, inventory theory, queueing theory, engineering economy, supply chain management, and production planning and control. He has received many recognitions, including the Outstanding Research Award and Outstanding Industrial Engineering Professor Award (in recognition of teaching excellence) from Northeastern University and the National Outstanding Doctoral Dissertation Advisor Award.

Editorial Reviews

"… an excellent tool for both new and experienced Minitab users. This book is a must have for anyone looking to incorporate Six Sigma in their organization."
—James Brough, Chamberlain Companies Inc.

" … provides a breadth of material combined with detailed illustration of its use that will make it valuable for any QA team trying to ensure the quality of their process statistically. … The case studies and the careful step-by-step illustration of the statistical techniques make their practical implementation and their implications apparent. I intend to bring this book in as part of our training and reference material."
—Derek Kane, DEKA Research and Development Corporation

"This book serves a dual purpose – as a quick reference guide for statistical tools and techniques used in Continuous Improvement/Six-Sigma/Quality departments of several organizations across various industries and as a handbook of Minitab with detailed screenshots that will immensely help readers with no prior experience with Minitab as well as seasoned Minitab users."
—Satish Nukala, PhD, Halliburton Energy Services

"… a very timely and useful book. I believe industry professional, academicians, and students will greatly benefit from this source."
—Elif Kongar, University of Bridgeport

"Very well written in simple language to understand application of Minitab for Six Sigma case studies. A good reference book for six Sigma professionals."

—Dr. Abdul Razzak Rumane, Dar Alkuwait Alkhaleejia,Kuwait

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