six sigma a case study approach using minitab

A Case Study Approach Using Minitab®

• © 2022
• Timothy D. Blackburn 0

The George Washington University, Washington, DC, USA

You can also search for this author in PubMed   Google Scholar

• Provides Lean Six Sigma instruction in the context of a case study, between the Green Belt and Black Belt levels
• Demystifies the use of the DMAIC phases (Define, Measure, Analyze, Improve and Control)
• Shows how to use Minitab and applied statistics to resolve novel problems; compatible with versions 18, 19, 20 and 21

11k Accesses

2 Citations

This is a preview of subscription content, log in via an institution to check access.

Access this book

Subscribe and save.

• Get 10 units per month
• Download Article/Chapter or eBook
• 1 Unit = 1 Article or 1 Chapter
• Cancel anytime
• Available as EPUB and PDF
• Read on any device
• Instant download
• Own it forever
• Compact, lightweight edition
• Dispatched in 3 to 5 business days
• Free shipping worldwide - see info
• Durable hardcover edition

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This book introduces the reader to Six Sigma, a problem-solving technique for reducing defects and variation in processes. The author uses DMAIC phases (Define, Measure, Analyze, Improve and Control) and a data-centric approach, leveraging applied statistics with Minitab ® .  Readers are enabled to solve novel problems where there isn’t an apparent root cause or solution identified. The author walks readers through an (imaginary) case study, explaining both the DMAIC approach and how to use Minitab in a practical way. The presentation includes data sets and instructions on how to analyze data in the context of Six Sigma using Minitab. 

Similar content being viewed by others

Overview of Quality and Six Sigma

Six Sigma and Business Process Management

Blending Six Sigma and Software Development

• Lean Six Sigma Textbook
• Data Analysis for Engineers and Scientists textbook
• Six Sigma and DMAIC
• Lean Six Sigma for Engineering Managers
• Statistics and Probability with Applications for Engineers

Table of contents (8 chapters)

Front matter, the case study – kind karz.

Timothy D. Blackburn

An Introduction to Six Sigma

The define phase, the measure phase (with minitab tools), the analyze phase with minitab tools, the improve phase, the control phase, storyboards, back matter, authors and affiliations, about the author.

Timothy D. Blackburn is a Summa Cum Laude graduate from the William States Lee College of Engineering (UNC-Charlotte) and holds an MBA from the Kenan-Flagler School of Business (UNC-Chapel Hill).  He also received a Ph.D. in Systems Engineering from The George Washington University (GWU).

He is a licensed Professional Engineer in multiple states and holds a Master Blackbelt in Six Sigma. Currently, he is a Professorial Lecturer in Engineering Management and Systems Engineering (EMSE) at The George Washington University where he teaches multiple Master’s and Doctoral level courses and advises doctoral students in their research phase. He is frequently a committee member for Dissertation and Praxis defenses. Tim is widely published in peer reviewed journals and has spoken at professional conferences. He also works in the pharmaceutical industry providing internal consulting in many of the areas covered in this book.  Contents in the book benefit from over 30years of experience in both industry and academia.

Tim’s affiliations (current or previous) include the Tau Alpha Pi and Phi Kappa Phi Honor Societies for academic achievement, the International Society for Pharmaceutical Engineers (ISPE), American Society for Quality (ASQ), Pharma Engineering Roundtable, International Council on Systems Engineering (INCOSE), International Foundation Process Analytical Chemistry (IFPAC), and American Indian Science and Engineering Society (AISES).

Bibliographic Information

Book Title : Six Sigma

Book Subtitle : A Case Study Approach Using Minitab®

Authors : Timothy D. Blackburn

DOI : https://doi.org/10.1007/978-3-030-96213-5

Publisher : Springer Cham

eBook Packages : Intelligent Technologies and Robotics , Intelligent Technologies and Robotics (R0)

Copyright Information : The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

Hardcover ISBN : 978-3-030-96212-8 Published: 13 April 2022

Softcover ISBN : 978-3-030-96215-9 Published: 15 April 2023

eBook ISBN : 978-3-030-96213-5 Published: 12 April 2022

Edition Number : 1

Number of Pages : XV, 258

Number of Illustrations : 46 b/w illustrations, 278 illustrations in colour

Topics : Control and Systems Theory , Statistical Theory and Methods , Probability Theory and Stochastic Processes

• Publish with us

Policies and ethics

• Find a journal
• Track your research

Academia.edu no longer supports Internet Explorer.

To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to  upgrade your browser .

Enter the email address you signed up with and we'll email you a reset link.

• We're Hiring!
• Help Center

Six Sigma Case Studies with Minitab

Related Papers

Boikobo Mothei

We provide an introductory overview of the Six Sigma development and improvement processes. A historical perspective is provided. We also discuss the statistical methods frequently used within this framework and briefly comment on the impact of Six Sigma on the practice of statistics in industry.

International Journal of Quality & Reliability …

Luisa Bermúdez Rodríguez

… of the 8th WSEAS International Conference …

Luca Cagnazzo

Six Sigma (SS) methodology is nowadays one of the most used approaches in the Quality Management field since its benefits coming from the improvement of the process outputs quality by identifying and removing the causes of defects and variability in manufacturing and business ...

IRJET Journal

Businesses operate in an environment that is fiercely competitive, where customer happiness and loyalty are essential to any company's success. Most businesses look for managerial techniques to enhance their goods and services, perfect their procedures, cut costs, and raise the profitability and happiness of the capital. These call for the application of improvement approaches, such as Six Sigma, giving businesses the chance to raise customer satisfaction and fulfil their expectations. Six Sigma has gained widespread acceptance across a number of global industries and has become as one of the most crucial topics of discussion in quality control. Using an efficient application of statistical tools and techniques, Six Sigma is a well-structured methodology used to identify the underlying causes of quality issues and to eliminate defects and process variability within the business processes. Additionally, it can assist a business in achieving anticipated goals through ongoing project improvement.

Kanuranjan Bakshi

International Journal of Lean Six Sigma

Ankur Yadav

Alejandro Grande

virender narula

Technovation

Frank Anbari

Loading Preview

Sorry, preview is currently unavailable. You can download the paper by clicking the button above.

RELATED PAPERS

Communications of the IBIMA

Diana Bratić

Mohammed Alami

Dr. Saurabh Tege

Concurrent Engineering

Kazuo Hatakeyama

ΒΑΣΙΛΕΙΟΣ ΙΣΜΥΡΛΗΣ

The TQM Magazine

GOURAV SARDANA

Jaime Calbucan Sanchez

Mechanical Engieneering-Scientific Journal

Gligorche Vrtanoski

Shivam Singh

… Journal of Quality & …

Jiju Antony

Cyro Barretto

Fausto Galetto

Tushar Shrivastava

International Business Management

Rohail Hassan

•   We're Hiring!
•   Help Center
• Find new research papers in:
• Health Sciences
• Earth Sciences
• Cognitive Science
• Mathematics
• Computer Science
• Academia ©2024

• Professional & Technical
• Professional Science

Sorry, there was a problem.

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet or computer – no Kindle device required .

Read instantly on your browser with Kindle for Web.

Using your mobile phone camera, scan the code below and download the Kindle app.

Image Unavailable

• To view this video, download Flash Player

Six Sigma: A Case Study Approach Using Minitab Paperback – April 15 2023

• ISBN-10 3030962156
• ISBN-13 978-3030962159
• Edition 2022 ed.
• Publisher Springer Nature
• Publication date April 15 2023
• Language English
• Dimensions 15.5 x 1.6 x 23.5 cm
• Print length 258 pages
• See all details

Product description

From the back cover, about the author, product details.

• Publisher ‏ : ‎ Springer Nature; 2022 ed. edition (April 15 2023)
• Language ‏ : ‎ English
• Paperback ‏ : ‎ 258 pages
• ISBN-10 ‏ : ‎ 3030962156
• ISBN-13 ‏ : ‎ 978-3030962159
• Item weight ‏ : ‎ 390 g
• Dimensions ‏ : ‎ 15.5 x 1.6 x 23.5 cm
• #539 in Mechanical Automation
• #1,191 in Electronics & Communications Robotics
• #1,420 in Mechanical Engineering Textbooks

Customer reviews

• 5 star 4 star 3 star 2 star 1 star 5 star 50% 50% 0% 0% 0% 50%
• 5 star 4 star 3 star 2 star 1 star 4 star 50% 50% 0% 0% 0% 50%
• 5 star 4 star 3 star 2 star 1 star 3 star 50% 50% 0% 0% 0% 0%
• 5 star 4 star 3 star 2 star 1 star 2 star 50% 50% 0% 0% 0% 0%
• 5 star 4 star 3 star 2 star 1 star 1 star 50% 50% 0% 0% 0% 0%

No customer reviews

• Amazon and Our Planet
• Modern Slavery Statement
• Investor Relations
• Press Releases
• Amazon Science
• Sell on Amazon
• Supply to Amazon
• Become an Affiliate
• Protect & Build Your Brand
• Sell on Amazon Handmade
• Advertise Your Products
• Independently Publish with Us
• Host an Amazon Hub
• Amazon.ca Rewards Mastercard
• Shop with Points
• Reload Your Balance
• Amazon Currency Converter
• Amazon Cash
• Shipping Rates & Policies
• Amazon Prime
• Returns Are Easy
• Manage your Content and Devices
• Recalls and Product Safety Alerts
• Registry & Gift List
• Customer Service

• Conditions of Use
• Privacy Notice
• Interest-Based Ads
• Amazon.com.ca ULC | 40 King Street W 47th Floor, Toronto, Ontario, Canada, M5H 3Y2 |1-877-586-3230

Available 9 a.m.–5 p.m.

Additional Options

• smartphone Call / Text
• voice_chat Consultation Appointment
• place Visit
• email Email

Chat with a Specific library

• Business Library Business Library Chat is Offline
• College Library (Undergraduate) College Library Chat is Offline
• Ebling Library (Health Sciences) Ebling Library Chat is Offline
• Gender and Women's Studies Librarian GWS Library Chat is Offline
• Information School Library (Information Studies) iSchool Library Chat is Offline
• Law Library (Law) Law Library Chat is Offline
• Memorial Library (Humanities & Social Sciences) Memorial Library Chat is Offline
• MERIT Library (Education) MERIT Library Chat is Offline
• Steenbock Library (Agricultural & Life Sciences, Engineering) Steenbock Library Chat is Offline
• Ask a Librarian Hours & Policy
• Library Research Tutorials

Search the for Website expand_more Articles Find articles in journals, magazines, newspapers, and more Catalog Explore books, music, movies, and more Databases Locate databases by title and description Journals Find journal titles UWDC Discover digital collections, images, sound recordings, and more Website Find information on spaces, staff, services, and more

Language website search.

Find information on spaces, staff, and services.

• ASK a Librarian
• Library by Appointment
• Locations & Hours
• Resources by Subject

book Catalog Search

Search the physical and online collections at UW-Madison, UW System libraries, and the Wisconsin Historical Society.

• Available Online
• Print/Physical Items
• Limit to UW-Madison
• Advanced Search
• Browse by...

collections_bookmark Database Search

Find databases subscribed to by UW-Madison Libraries, searchable by title and description.

• Browse by Subject/Type
• Introductory Databases
• Top 10 Databases

article Journal Search

Find journal titles available online and in print.

• Browse by Subject / Title
• Citation Search

description Article Search

Find articles in journals, magazines, newspapers, and more.

• Scholarly (peer-reviewed)
• Open Access
• Library Databases

collections UW Digital Collections Search

Discover digital objects and collections curated by the UW Digital Collections Center .

• Browse Collections
• Browse UWDC Items
• University of Wisconsin–Madison
• Email/Calendar
• Google Apps
• Loans & Requests
• Poster Printing
• Account Details
• Archives and Special Collections Requests
• Library Room Reservations

Search the UW-Madison Libraries

Catalog search.

Six Sigma : a case study approach using Minitab®

This book introduces the reader to Six Sigma, a problem-solving technique for reducing defects and variation in processes. The author uses DMAIC phases (Define, Measure, Analyze, Improve and Contro...

This book introduces the reader to Six Sigma, a problem-solving technique for reducing defects and variation in processes. The author uses DMAIC phases (Define, Measure, Analyze, Improve and Control) and a data-centric approach, leveraging applied statistics with Minitab. Readers are enabled to solve novel problems where there isnt an apparent root cause or solution identified. The author walks readers through an (imaginary) case study, explaining both the DMAIC approach and how to use Minitab in a practical way. The book includes data sets and instructions on how to analyze data in the context of Six Sigma using Minitab. Provides Lean Six Sigma instruction in the context of a case study, between the Green Belt and Black Belt levels; Demystifies the use of the DMAIC phases (Define, Measure, Analyze, Improve and Control); Guides readers clearly how to use Minitab and applied statistics to resolve novel problems; Demonstrates DMAIC and supporting tools in the context of an actual case study; Compatible with Minitab versions 18, 19, 20 and 21; This book is suitable for self-instruction, course textbook, or certification (or general) reference.

• language View Online
• format_quote Citation

Publication Details

• Cham, Switzerland : Springer, 2022
• 1 online resource (268 pages)
• Includes bibliographical references and index.
• Intro -- Preface -- Acknowledgments -- Contents -- Acronymns -- About the Author -- 1: The Case Study - KIND Karz -- References -- 2: An Introduction to Six Sigma -- References -- 3: The Define Phase -- 3.1 Project Charter -- 3.2 Voice of the Customer (VOC) and Critical to Quality (CTQ) Hierarchy -- 3.3 SIPOC and Mapping -- 3.4 Stakeholder Analysis -- 3.5 Learnings from Similar Incidences -- 3.6 Other Background Information and Contents -- References -- 4: The Measure Phase (with Minitab Tools) -- 4.1 The Measure Phase: An Overview -- 4.1.1 Data Collection -- 4.1.2 Process Stability
• 4.1.3 Process Capability -- 4.1.4 Measurement System Analysis (MSA) -- 4.1.5 Funneling and Stratification -- 4.2 Control Charts: Minitab Methods and Analysis Detail -- 4.2.1 Common Cause Versus Special Cause Variation -- 4.2.2 Control Chart Fundamentals -- 4.2.3 The Individual Moving Range Control Chart in Minitab -- 4.2.4 The P-Chart for Proportional Data in Minitab -- 4.2.5 The X-Bar R Chart for Systematically Sampled Data in Minitab -- 4.2.6 Control Chart for Attributes: The U-Chart in Minitab -- 4.2.7 Assessing Unusual Patterns: The Run Chart in Minitab
• 4.3 Capability Analysis: Minitab Methods and Analysis Detail -- 4.3.1 Introduction to Capability Analysis -- 4.3.2 Using Minitab to Calculate Ppk for Continuous Data -- 4.3.3 Using Minitab to Calculate Ppk for Continuous Data: Non-normal -- 4.3.4 Discrete Data Process Capability -- 4.3.5 Calculating Ppk for Discrete Data in Minitab -- 4.4 Measurement System Analysis (with Gage R&R, Attribute Agreement Analysis): Minitab Methods and Analysis Detail -- 4.4.1 Introduction to Gage R&R and Attribute Agreement Analysis -- 4.4.2 GAGE R&R: Overview
• 4.4.3 Designing and Analyzing the GAGE R&R Study in Minitab -- 4.4.4 Attribute Agreement Analysis in Minitab -- 4.5 Pareto Analysis: Minitab Methods and Analysis Detail -- 4.5.1 Creating a Pareto Chart -- 4.5.2 Constructing a Pareto Chart in Minitab -- 4.6 Test of Proportions: Minitab Methods and Analysis Detail -- 4.6.1 Introduction to Test of Proportions -- 4.6.2 Test of Two Proportions in Minitab -- 4.6.3 Chi-Square Test of Multiple Proportions in Minitab -- References -- 5: The Analyze Phase with Minitab Tools -- 5.1 The Analyze Phase: An Overview -- 5.1.1 Introduction
• 5.1.2 Cause and Effect Analysis -- 5.1.3 Verifying or Discarding Root Causes: Process Analysis -- 5.1.4 Verifying or Discarding Root Causes: Data Analysis -- 5.1.5 Piloting -- 5.1.6 Data Analysis Example: Regression -- 5.1.7 Data Analysis Example: Two Sample T Test -- 5.1.8 Data Analysis Example: Paired T Test -- 5.1.9 Data Analysis Example: ANOVA, ANOM -- 5.1.10 Data Analysis Example: Design of Experiment (DOE) -- 5.1.11 Summary Root Cause Tables -- 5.2 Regression Analysis: Minitab Methods and Analysis Detail -- 5.2.1 Regression Overview -- 5.2.2 Assumptions for Linear Regression and Key Data Interpretations
• Six sigma (Quality control standard)

Items Related By Call Number

Additional information, library staff details, keyboard shortcuts, available anywhere, available in search results.

Breadcrumbs Section. Click here to navigate to respective pages.

Six Sigma Case Studies with Minitab

DOI link for Six Sigma Case Studies with Minitab

Get Citation

Six Sigma is one of the most widely used quality improvement methodologies today, both in manufacturing and service industries. Minitab is a statistical software package that is often used in conjunction with Six Sigma projects. This book illustrates the application of Minitab for Six Sigma projects, using case studies in a variety of sectors, such as healthcare, manufacturing, airline, and fast food. Detailed steps and screenshots are provided to explain how to use a number of quality analysis and improvement tools in Minitab. Figures will include Minitab screenshots and Minitab worksheets for the case studies will be available for download.

TABLE OF CONTENTS

Chapter 1 | 12  pages, introduction to six sigma quality, chapter 2 | 8  pages, quality analysis and improvement tools/techniques used in this book, chapter 3 | 20  pages, confidence intervals to assess variation in fat content at a fast-food restaurant, chapter 4 | 18  pages, hypothesis testing for quality control at a manufacturing company, chapter 5 | 20  pages, chi-square analysis to verify quality of candy packets, chapter 6 | 24  pages, process capability analysis at a manufacturing company, chapter 7 | 14  pages, binary logistic regression to predict customer satisfaction at a restaurant, chapter 8 | 18  pages, item analysis and cluster analysis to gather “voice of the customer” (voc) data from employees at a service firm, chapter 9 | 24  pages, mixture designs to optimize pollution level and temperature of fuels, chapter 10 | 24  pages, multivariate analysis to reduce patient waiting time at a medical center, chapter 11 | 10  pages, pareto chart and fishbone diagram to minimize recyclable waste disposal in a town, chapter 12 | 20  pages, measurement system analysis at a medical equipment manufacturer, chapter 13 | 16  pages, taguchi design to improve customer satisfaction of an airline company, chapter 14 | 26  pages, factorial design of experiments to optimize a chemical process, chapter 15 | 16  pages, chi-square test to verify source association with parts purchased and products produced.

• Privacy Policy
• Terms & Conditions
• Cookie Policy
• Taylor & Francis Online
• Taylor & Francis Group
• Students/Researchers
• Librarians/Institutions

Connect with us

Registered in England & Wales No. 3099067 5 Howick Place | London | SW1P 1WG © 2024 Informa UK Limited

Get full access to Six Sigma Case Studies with Minitab® and 60K+ other titles, with a free 10-day trial of O'Reilly.

There are also live events, courses curated by job role, and more.

Six Sigma Case Studies with Minitab®

Read it now on the O’Reilly learning platform with a 10-day free trial.

O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Book 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

• Front Cover (1/2)
• Front Cover (2/2)
• Acknowledgments
• About the Authors
• Chapter 1: Introduction to Six Sigma Quality (1/3)
• Chapter 1: Introduction to Six Sigma Quality (2/3)
• Chapter 1: Introduction to Six Sigma Quality (3/3)
• Chapter 2: Quality Analysis and Improvement Tools/Techniques Used in This Book (1/2)
• Chapter 2: Quality Analysis and Improvement Tools/Techniques Used in This Book (2/2)
• Chapter 3: Confidence Intervals to Assess Variation in Fat Content at a Fast-Food Restaurant (1/4)
• Chapter 3: Confidence Intervals to Assess Variation in Fat Content at a Fast-Food Restaurant (2/4)
• Chapter 3: Confidence Intervals to Assess Variation in Fat Content at a Fast-Food Restaurant (3/4)
• Chapter 3: Confidence Intervals to Assess Variation in Fat Content at a Fast-Food Restaurant (4/4)
• Chapter 4: Hypothesis Testing for Quality Control at a Manufacturing Company (1/4)
• Chapter 4: Hypothesis Testing for Quality Control at a Manufacturing Company (2/4)
• Chapter 4: Hypothesis Testing for Quality Control at a Manufacturing Company (3/4)
• Chapter 4: Hypothesis Testing for Quality Control at a Manufacturing Company (4/4)
• Chapter 5: Chi-Square Analysis to Verify Quality of Candy Packets (1/4)
• Chapter 5: Chi-Square Analysis to Verify Quality of Candy Packets (2/4)
• Chapter 5: Chi-Square Analysis to Verify Quality of Candy Packets (3/4)
• Chapter 5: Chi-Square Analysis to Verify Quality of Candy Packets (4/4)
• Chapter 6: Process Capability Analysis at a Manufacturing Company (1/5)
• Chapter 6: Process Capability Analysis at a Manufacturing Company (2/5)
• Chapter 6: Process Capability Analysis at a Manufacturing Company (3/5)
• Chapter 6: Process Capability Analysis at a Manufacturing Company (4/5)
• Chapter 6: Process Capability Analysis at a Manufacturing Company (5/5)
• Chapter 7: Binary Logistic Regression to Predict Customer Satisfaction at a Restaurant (1/3)
• Chapter 7: Binary Logistic Regression to Predict Customer Satisfaction at a Restaurant (2/3)
• Chapter 7: Binary Logistic Regression to Predict Customer Satisfaction at a Restaurant (3/3)
• Chapter 8: Item Analysis and Cluster Analysis to Gather “Voice of the Customer” (VOC) Data from Employees at a Service Firm (1/4)
• Chapter 8: Item Analysis and Cluster Analysis to Gather “Voice of the Customer” (VOC) Data from Employees at a Service Firm (2/4)
• Chapter 8: Item Analysis and Cluster Analysis to Gather “Voice of the Customer” (VOC) Data from Employees at a Service Firm (3/4)
• Chapter 8: Item Analysis and Cluster Analysis to Gather “Voice of the Customer” (VOC) Data from Employees at a Service Firm (4/4)
• Chapter 9: Mixture Designs to Optimize Pollution Level and Temperature of Fuels (1/5)
• Chapter 9: Mixture Designs to Optimize Pollution Level and Temperature of Fuels (2/5)
• Chapter 9: Mixture Designs to Optimize Pollution Level and Temperature of Fuels (3/5)
• Chapter 9: Mixture Designs to Optimize Pollution Level and Temperature of Fuels (4/5)
• Chapter 9: Mixture Designs to Optimize Pollution Level and Temperature of Fuels (5/5)
• Chapter 10: Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center (1/5)
• Chapter 10: Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center (2/5)
• Chapter 10: Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center (3/5)
• Chapter 10: Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center (4/5)
• Chapter 10: Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center (5/5)
• Chapter 11: Pareto Chart and Fishbone Diagram to Minimize Recyclable Waste Disposal in a Town (1/2)
• Chapter 11: Pareto Chart and Fishbone Diagram to Minimize Recyclable Waste Disposal in a Town (2/2)
• Chapter 12: Measurement System Analysis at a Medical Equipment Manufacturer (1/4)
• Chapter 12: Measurement System Analysis at a Medical Equipment Manufacturer (2/4)
• Chapter 12: Measurement System Analysis at a Medical Equipment Manufacturer (3/4)
• Chapter 12: Measurement System Analysis at a Medical Equipment Manufacturer (4/4)
• Chapter 13: Taguchi Design to Improve Customer Satisfaction of an Airline Company (1/4)
• Chapter 13: Taguchi Design to Improve Customer Satisfaction of an Airline Company (2/4)
• Chapter 13: Taguchi Design to Improve Customer Satisfaction of an Airline Company (3/4)
• Chapter 13: Taguchi Design to Improve Customer Satisfaction of an Airline Company (4/4)
• Chapter 14: Factorial Design of Experiments to Optimize a Chemical Process (1/6)
• Chapter 14: Factorial Design of Experiments to Optimize a Chemical Process (2/6)
• Chapter 14: Factorial Design of Experiments to Optimize a Chemical Process (3/6)
• Chapter 14: Factorial Design of Experiments to Optimize a Chemical Process (4/6)
• Chapter 14: Factorial Design of Experiments to Optimize a Chemical Process (5/6)
• Chapter 14: Factorial Design of Experiments to Optimize a Chemical Process (6/6)
• Chapter 15: Chi-Square Test to Verify Source Association with Parts Purchased and Products Produced (1/4)
• Chapter 15: Chi-Square Test to Verify Source Association with Parts Purchased and Products Produced (2/4)
• Chapter 15: Chi-Square Test to Verify Source Association with Parts Purchased and Products Produced (3/4)
• Chapter 15: Chi-Square Test to Verify Source Association with Parts Purchased and Products Produced (4/4)
• Appendix (1/4)
• Appendix (2/4)
• Appendix (3/4)
• Appendix (4/4)

Product information

• Title: Six Sigma Case Studies with Minitab®
• Author(s): Kishore K. Pochampally, Surendra M. Gupta
• Release date: February 2014
• Publisher(s): CRC Press
• ISBN: 9781482205596

You might also like

The business case for design for six sigma.

by David W. Bacon, Randy C. Perry

Successful development and commercialization of new products are critical to the long term viability of any …

Six Sigma for Powerful Improvement

by Charles T. Carroll

The Six Sigma Define-Measure-Analyze-Improve-Control (DMAIC) philosophy and procedures are widely accepted as valuable tools for achieving …

Statistical Tolerancing in Design for Six Sigma

by Randy C. Perry, David W. Bacon

Development of a new product requires the product development team to address many complex customer requirements …

The McGraw-Hill 36-Hour Course: Lean Six Sigma

by Sheila Shaffie, Shahbaz Shahbazi

Use your next three-day weekend to develop valuable Lean Six Sigma skills With the integration of …

Don’t leave empty-handed

Get Mark Richards’s Software Architecture Patterns ebook to better understand how to design components—and how they should interact.

It’s yours, free.

Check it out now on O’Reilly

Dive in for free with a 10-day trial of the O’Reilly learning platform—then explore all the other resources our members count on to build skills and solve problems every day.

1st Edition

Six Sigma Case Studies with Minitab®

• Taylor & Francis eBooks (Institutional Purchase) Opens in new tab or window

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

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.

Critics' Reviews

"This book is authored by experienced professors who have been teaching in the area and have also done several projects extensively. Six Sigma has been the most popular and widely used technique with the manufacturers for ensuring process quality these days. Therefore, the importance of a book for understanding Six Sigma in all its potential is highly welcome. The authors have done extremely well to present it in a simple-to-understand language and bring out the potential of Six Sigma by presenting numerous case studies ... As is well-known that Six Sigma uses a five-step methodology, called DMAIC, namely, Define, Measure, Analyze, Improve, and Control. The authors clearly demonstrate these steps with each and every case study presented. ... The book is recommended to all graduate students interested in quality engineering and to managers in various companies desirous of improving quality of their products or services." —Krishna B. Misra, International Journal of Performability Engineering "This book is an eclectic mix of case studies representing a diversity of industries, including healthcare, manufacturing, airlines and restaurants. The authors demonstrate how to combine the power of Six Sigma with Minitab to analyze data. The book starts with an introduction to Six Sigma quality, providing definitions for important terms with accompanying examples.... The authors follow the define, measure, analyze, improve and control method for each problem by indicating what kind of coverage the reader can expect for each phase. ... The book includes detailed steps and several pages of screenshots for conducting the analyses in Minitab. The contents of the Minitab worksheets are in the appendix and also can be downloaded from the publisher’s website. ... This book is a good reference and will be most useful to individuals engaged in continuous process improvement and Six Sigma, and those teaching, training or conducting analyses using Minitab." — Kunita R. Gear, in Quality Progress (QP) Reviews, March 2016 "In the quality management literature, there is no shortage of Six Sigma books. However, many books on this topic take a conceptual approach, describing aspects of the Six Sigma philosophy or management approach in detail while glossing over the intricacies of how to actually organize and execute the analytical portion of Six Sigma projects. The latter information is particularly useful to practitioners and those applying for certification; unfortunately, without a portfolio of Six Sigma projects already completed, this background can be hard to come by. Pochampally and Gupta’s book effectively satisfies that gap." —Dr. Nicole Radziwill, Quality Management Journal , Vol. 21, No. 3 "… 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

About VitalSource eBooks

VitalSource is a leading provider of eBooks.

• Access your materials anywhere, at anytime.
• Customer preferences like text size, font type, page color and more.
• Take annotations in line as you read.

Multiple eBook Copies

This eBook is already in your shopping cart. If you would like to replace it with a different purchasing option please remove the current eBook option from your cart.

Book Preview

Six Sigma: A Case Study Approach Using Minitab«

Filter Results

• Eligible for Free Shipping
• Expedited Shipping Available
• Fine/Like New or Better
• Very Good or Better
• Good or Better
• Fair or Better
• Highest Rated Sellers Only (5 stars only)
• High Rated Sellers Only (4 stars and above)
• Rare Books Only
• Signed Copies
• First Editions
• Alternate Editions

Browse related Subjects

• Technology & Engineering > Electrical
• Mathematics > Probability & Statistics
• Stochastics
• Statistical methods
• Six sigma Quality control standard

by Timothy D. Blackburn

This book introduces the reader to Six Sigma, a problem-solving technique for reducing defects and variation in processes. The author uses DMAIC phases (Define, Measure, Analyze, Improve and Control) and a data-centric approach, leveraging applied statistics with Minitab???. Readers are enabled to solve novel problems where there isn't an apparent root cause or solution identified. The author walks readers through an (imaginary) case study, explaining both the DMAIC approach and how to use Minitab in a practical way. The ... Read More

This book introduces the reader to Six Sigma, a problem-solving technique for reducing defects and variation in processes. The author uses DMAIC phases (Define, Measure, Analyze, Improve and Control) and a data-centric approach, leveraging applied statistics with Minitab???. Readers are enabled to solve novel problems where there isn't an apparent root cause or solution identified. The author walks readers through an (imaginary) case study, explaining both the DMAIC approach and how to use Minitab in a practical way. The presentation includes data sets and instructions on how to analyze data in the context of Six Sigma using Minitab. Read Less

• All from $19.50
• New Books from $61.05
• Used Books from $76.83
• Rare Books from $123.61
• eBook from $19.50
• All Copies ( 8 )
• Softcover ( 4 )
• Hardcover ( 4 )
• Choose Edition ( 2 )
• Book Details
• Sort Seller Rating Price: Low to High Price: High to Low Condition Condition: Reverse Pub Date Pub Date: Reverse

• < Prev 1 2 3 Next >

All Editions of Six Sigma: A Case Study Approach Using Minitab«

2023, Paperback

9783030962159

2022, Hardcover

9783030962128

Books by Timothy D. Blackburn

The History of the Future

Starting at $20.51

Customer Reviews

Write a Review

Mastering Six Sigma with Minitab: Practical Case Studies

Case Studies

Featured Case Study

Science demands statistical analysis: how lg chem improved quality with minitab.

LG Chem, a global medical device and drug manufacturer, cites Minitab as a key factor in the success of their quality improvement program. In 2023, innovation activities at LG Chem resulted in financial gains exceeding 100 billion KRW (well over $73 M in USD), in part due to the company’s widespread use of Minitab solutions.

How Maxion Wheels Increased Continuous Improvement Cost Savings by 19% With Minitab Engage

Maxion Wheels, the world's largest wheel producer, increased annual cost savings by over 19% by incorporating Minitab Engage ® into their project management system. Engage’s infrastructure allowed for instant visibility and intelligible metrics across 1,600 projects and 1,500 users, resulting in improved productivity and collaboration.

How USC Consulting Group Reduced Overfill and Saved a Leading Candy Manufacturer $1.2M with the Help of Minitab Statistical Software

For over 50 years, USC Consulting Group (USCCG) has been driving operational excellence with a mission to provide real value by improving financial performance. USCCG helps companies reach their highest potential by improving processes and operations across their entire supply chain.

How Masimo Used Minitab to Automate and Improve Their Packaging Process

Learn how Masimo, a global medical technology company, used Minitab to automate and improve their packaging durability and aesthetics.

The Color of Quality: How Crayola Uses Data to Deliver the Perfect Crayon

Analyzing and acting on data transformed the way Crayola does business and has enabled the company to concentrate resources where they'll have the biggest impact.

Helping Tate & Lyle Ensure Sweeteners Feel More Like Plain Sugar

When Tate & Lyle faced a challenge in the process of refining corn sugars, they turned to Minitab software for assistance.

Getting Trainees Up to Speed with Stats: Cummins Trusts Quality Trainer

The diverse range of statistical knowledge among Cummins Inc.'s employees made teaching new Six Sigma trainees a challenge. Then the company tried Quality Trainer by Minitab.

• Energy and Resources
• Manufacturing
• Medical Devices
• Quality Improvement

A quality expert at Bobcat used Minitab Statistical Software to increase the speed of a laser-cutting process while improving part quality, for a potential impact of more than $1 million.

Ford Motor Company DOE

Faced with the launch of the Ford Fiesta, Ford Motor Company trusted Minitab for the statistical tools necessary to deliver a quality product and a successful introduction. 

Maxion Wheels

Maxion Wheels, the world's largest wheel producer, sought immediate visibility into their continuous improvement and operational excellence projects. They chose to implement Minitab Engage, which provided workflow functions that enabled stakeholders to easily track and report on progress with data visible to administrators. As a result, the company improved visibility, saved time and achieved cost savings.

Global Solar Technology and Renewable Energy Provider

One of the world’s largest solar technology and renewable energy companies needed to control the thickness of its silicon nitride film to improve energy efficiency levels. Learn how the company was able to pinpoint and rectify the causes for the differences in film thickness using the powerful charting and analysis tools included in Minitab ® Statistical Software and Minitab Engage ® .

Fresnillo Plc

Fresnillo Plc increased its monthly revenue by over $2 million using Lean Six Sigma methodologies and Minitab Statistical Software to examine the silver recovery process at its Saucito mine.

Mosaic Corporation

Find out how a Six Sigma team at Mosaic Corporation, armed with an excellent knowledge of process improvement and powerful tools including Minitab Statistical Software, increased productivity by more than 50 percent—and made a financial impact of more than $12 million per year.

Newcrest Mining Ltd

With Minitab Statistical Software, Newcrest Mining can get an additional load of ore per truck each day from its Cadia Hill mine.

Grupo Mutual

A project team at Grupo Mutual, one of Costa Rica’s leading financial institutions sought to improve the cash flow among 55 of its bank branches. Using Lean Six Sigma methods and Minitab Statistical Software enabled the team to increase revenue by $1.1 million.

Edward Jones

With the current growth of the financial firm—and plans for future expansion—Edward Jones wanted to ensure its world-class service continues to exceed customers’ expectations. Armed with Lean Six Sigma tactics and the statistical tools in Minitab Statistical Software, the business process improvement team at Edward Jones set out to assess how the firm could continue to meet its high customer service standards in the midst of increasing service demands.

City of Tyler Texas

The City of Tyler, Texas has saved more than $5 million through Lean Six Sigma projects. In one such project, city employees used Minitab Statistical Software to show that using less magnesium hydroxide to treat wastewater still ensured compliance with state regulations—while shaving some $80,000 in expenses.

City of Fort Wayne Indiana

Indiana’s second-largest city used Minitab and Six Sigma to improve municipal services—and save millions of dollars.

Takeda Boosts Drug Production with the Help of Machine Learning Models

When Takeda Pharmaceutical Company Ltd. wanted to produce more of its three blood clotting drugs more efficiently, it used Minitab Statistical Software's machine learning features to identify a way to increase yield from the cell cultures used in production.

Lehigh Valley Health Network

Lehigh Valley Health Network (LVHN) has achieved Quality Milestones throughout its 100+ year history. Its quality journey has recently added Lean Six Sigma tools and Minitab statistical analysis software to help achieve improvements with patient-centered care.

Connections Health Solutions

Connections Health Solutions was asked to assume management of the Tucson, Arizona Crisis Response Center in April 2014 due to quality and safety concerns. Drawing upon their years of experience operating a larger crisis facility in Phoenix, Connections used Lean Six Sigma methods to redesign processes for evaluating, admitting and treating patients. Using Minitab Statistical Software, the Connections team was able to measure their success, which included significant improvements in the timeliness, quality of care, and patient experience overall.

Riverview Hospital Association

With Minitab Statistical Software, the Riverview Hospital Association Lean Six Sigma team was able to perform data analysis to identify patient groups who were scoring lower on patient satisfaction survey questions. This allowed the team to target process improvement efforts to specific patient populations.

RightSource

When RightSource pharmacy implemented a new prescription management system, its productivity dropped and orders began backing up. Implementing a Lean Six Sigma project using Minitab allowed the company to reduce work-in-progress inventory by 40% and save money at every step.

Cathay General Hospital

During an assessment of its angioplasty process for patients suffering from heart attacks, Cathay General Hospital in Taipei, Taiwan used Minitab Statistical Software to analyze data that would help save lives. The tools provided by Minitab allowed healthcare professionals to confidently introduce new treatment options that led to a decrease in the patients’ hospital stay and an increased savings in medical resources.

Akron Childrens Hospital Home Care

Akron Children’s Hospital examined its Home Care billing process using Lean Six Sigma methodologies and Minitab Statistical Software. Data analysis enabled both homebound and ambulatory patients to receive quality medical care, and decreased the number of days from delivery to billing by 90%.

Boston Scientific

During Boston Scientific’s annual assessment of their materials and processes, the medical device manufacturer used Minitab Statistical Software to analyze data that would validate the pouch-sealing process used to package guidewires. The tools provided by Minitab allowed engineers to confidently move forward with the introduction of a new pouch that streamlined packaging across several departments of the corporation and led to a substantial reduction in material costs.

Via Christi Health

With the launch of Via Christi’s Center for Clinical Excellence, the healthcare provider created a team of 5 people, all with Lean and Six Sigma training, to complete projects to make patient care more consistent and its operations more efficient. To perform the data analysis necessary to complete the various projects, Via Christi process improvement teams rely on Minitab Statistical Software.

Akron Childrens Hospital Center Extubations

The largest pediatric provider in northeast Ohio used Minitab to analyze their Lean Six Sigma project data, which helped them to decrease their rate of unplanned breathing tube removals for infants in the neonatal intensive care unit—preventing patient setbacks and reducing length of stay.

Akron Childrens Hospital

The largest pediatric health care provider in northeast Ohio uses quality techniques pioneered in industry to reduce patient waiting times and make many other improvements. And they trust Minitab Statistical Software to help them analyze their data and understand the results.

KYOCERA AVX Brings the Voice of the Customer to the Forefront

KYOCERA AVX leveraged Minitab Engage to gain visibility into the quality management systems and continuous improvement programs across its manufacturing plants around the world. As a result, collaboration increased, new learning opportunities appeared, and customers were serviced faster and more efficiently.

USC Consulting Group

The experts at HEXPOL Compounding, a world leader in rubber compounding, pride themselves on sharing their market knowledge and innovation to provide customers in several industries – from auto to construction to healthcare to energy, oil and gas – the right solutions for their applications.

Tate & Lyle

Tate & Lyle is a global leader in the food and beverage industry, validated by a long and impressive track record of “making food extraordinary” by turning corn, tapioca and other raw materials into ingredients that add taste, texture and nutrients to foods. One of their most recognizable products in the US is the sweetener SPLENDA® Sucralose. When they faced a challenge in the process of refining corn sugars, Tate & Lyle turned to Minitab software for assistance.

Anheuser-Busch InBev

Anheuser-Busch InBev reduced production line downtime for switching beer brands by 34% and saved more than $430,000.

Thai Roong Ruang Sugar Group

Thailand’s leading sugar exporter, Thai Roong Ruang Sugar Group, used Minitab Statistical Software to evaluate and standardize its employee review process in order to address potential bias among managers. Using data analysis, the team established a fair compensation plan that avoids unfair promotions.

Medtronic’s Black Belt candidates come from many different educational backgrounds, which made training difficult. To make sure candidates shared a common understanding of statistical methods and maximize their potential to succeed, Medtronic turned to Quality Trainer, Minitab’s e-learning course on statistics for quality.

The diverse range of statistical knowledge among Cummins Inc.'s employees made teaching new Six Sigma trainees a challenge. Then the company tried Quality Trainer by Minitab, an e-learning course that teaches Green Belts, Black Belts and other quality professionals the statistics they need. Integrating Quality Trainer into their training program has helped Cummins roll out Six Sigma to more employees.

Stryker, a leading medical technology company, credits their success to their culture of constant improvement. To make sure employees have the statistical knowledge they need, the company trusts Quality Trainer by Minitab, an e-learning course that teaches quality statistics and how to analyze data with Minitab Statistical Software.

When the amount of “mill scale” on steel rod from OneSteel’s Laverton Rod Mill began affecting yield and profitability at the company’s wire mill, the company used Six Sigma and the power of Minitab Statistical Software to find solutions—and demonstrate their success.

DuPont Building Innovations reduced the amount of landfill waste they generated from 81 million pounds per year to zero. The global Six Sigma team that achieved this goal used Minitab Statistical Software to analyze and make sense of the tremendous amount of data gathered throughout the project.

Semiconductor Manufacturing

A semiconductor plant in Thailand used Minitab Statistical Software to accurately forecast electricity consumption and maximize profits. By using data analysis, the plant was able to create a budget that aligned the plant’s energy usage with its production goals.

Learn how Masimo, a global medical technology company, used Minitab to automate and improve their packaging durability and aesthetics.   

Global chemical company Buckman transformed its business by training technical sales associates to use data analysis and Minitab to help customers improve their processes, provide more value to customers, and drive sales—impacting the bottom line.

Energy supply specialist Socomec used Minitab Statistical Software and Lean Six Sigma methods to measure and improve its sales operations.

Human Resources

To investigate high employee attrition, the human resources department of a large manufacturer of aerospace engine parts conducted a Lean Six Sigma project and relied on the statistical tools in Minitab Statistical Software to analyze the data.

• Trust Center

© 2024 Minitab, LLC. All Rights Reserved.

• Terms of Use
• Privacy Notice
• Cookie Settings

You are now leaving minitab.com.

Click Continue to proceed to: