Six Sigma Quality Improvement with Minitab and Minitab Student Release 14 Set
| Author | : Nancy Henderson |
| Publisher | : John Wiley & Sons |
| Total Pages | : |
| Release | : 2010-02-19 |
| Genre | : Mathematics |
| ISBN | : 9780470769270 |
Six Sigma Quality Improvement With Minitab And Minitab Student Release 14 Set
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Six Sigma Quality Improvement with Minitab
| Author | : G. Robin Henderson |
| Publisher | : John Wiley & Sons |
| Total Pages | : 536 |
| Release | : 2011-06-28 |
| Genre | : Mathematics |
| ISBN | : 1119976189 |
This book aims to enable readers to understand and implement, via the widely used statistical software package Minitab (Release 16), statistical methods fundamental to the Six Sigma approach to the continuous improvement of products, processes and services. The second edition includes the following new material: Pareto charts and Cause-and-Effect diagrams Time-weighted control charts cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) Multivariate control charts Acceptance sampling by attributes and variables (not provided in Release 14) Tests of association using the chi-square distribution Logistic regression Taguchi experimental designs
Applying Six Sigma Using Minitab
| Author | : Bruce Gilbert |
| Publisher | : Dog Ear Publishing |
| Total Pages | : 454 |
| Release | : 2017-09-13 |
| Genre | : Business & Economics |
| ISBN | : 1457556790 |
The Six Sigma process improvement methodology demonstrates the critical importance of properly collecting and analyzing data. From its roots in the manufacturing environment, the power of Six Sigma has found its way into virtually all areas of business – regardless of product, service, industry, or profession. Companies everywhere are recognizing that they can save money using Six Sigma. Minitab statistical software, which has been used since the 1970s, has consistently proven to be effective in analyzing data in the context of Six Sigma methodology. Filled with figures and written in easy-to-understand language, this manual will help you: • use Minitab’s functions to follow the DMAIC (Define, Measure, Analyze, Improve, Control) roadmap; • minimize the use of equations in explanations of data analysis; • maximize your understanding of Minitab’s data analysis outputs. There are different Minitab screens that are used to create graphs and perform data analysis, and you’ll also learn how to create these graphs and enhance displays for presentation purposes. Whether you’re just learning Six Sigma or need a refresher course, Applying Six Sigma Using Minitab is a reference you’ll use time and again to complete projects, save money, and accomplish your goals.
Problem Solving and Data Analysis Using Minitab
| Author | : Rehman M. Khan |
| Publisher | : John Wiley & Sons |
| Total Pages | : 715 |
| Release | : 2013-01-28 |
| Genre | : Mathematics |
| ISBN | : 1118307526 |
Six Sigma statistical methodology using Minitab Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Exercises are featured at the end of each example so that the reader can be assured that they have understood the key learning points. Key features: Provides readers with a step by step guide to problem solving and statistical analysis using Minitab 16 which is also compatible with version 15. Includes fully worked examples with graphics showing menu selections and Minitab outputs. Uses example based learning that the reader can work through at their pace. Contains hundreds of screenshots to aid the reader, along with explanations of the statistics being performed and interpretation of results. Presents the core statistical techniques used by Six Sigma Black Belts. Contains examples, exercises and solutions throughout, and is supported by an accompanying website featuring the numerous example data sets. Making Six Sigma statistical methodology accessible to beginners, this book is aimed at numerical professionals, students or academics who wish to learn and apply statistical techniques for problem solving, process improvement or data analysis whilst keeping mathematical theory to a minimum.
Six Sigma Case Studies with Minitab®
| Author | : Kishore K. Pochampally |
| Publisher | : CRC Press |
| Total Pages | : 320 |
| Release | : 2014-02-06 |
| Genre | : Business & Economics |
| ISBN | : 1482205572 |
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.
Six Sigma Statistics Using Minitab 19
| Author | : Rehman Khan |
| Publisher | : |
| Total Pages | : 244 |
| Release | : 2020-01-19 |
| Genre | : |
| ISBN | : |
How do you like to learn? Is it by reading textbooks? Or do you want to learn by doing and seeing the results for yourself? If so, this book is for you as it is written as a teaching guide. The book aims to teach using example-based learning so you can learn data analysis and problem-solving at the Green Belt level. The author recognised that Six Sigma Green and Black belts needed more support to understand the complex statistical techniques used within Six Sigma, but this had to be delivered effectively. In this book, the author uses his experience of industrial process improvement and Minitab training to provide Six Sigma Green Belts with the learning support they need to drive Minitab 19. Key Features of this book are: -Covers all main topics used by Six Sigma Green Belts in easy to understand language. -Improved and updated for Minitab 19.-The main Six Sigma tools are explained. It uses example-based learning with hundreds of screenshots in the book.-Focusses on using the Assistant and includes features such as Sequential DOE and Multiple Regression.-The data sets for the examples and exercises are available to download from www.rmksixsigma.com; along with model answers. -Support Videos are also available from the RMK Six Sigma Youtube channel.-Examples cover both continuous and attribute data where possible.
SIx Sigma Statistics Using Minitab 18
| Author | : Rehman Khan |
| Publisher | : |
| Total Pages | : 240 |
| Release | : 2019-08-10 |
| Genre | : |
| ISBN | : 9781089469230 |
How do you like to learn? Is it by reading textbooks? Or do you want to learn by doing and seeing the results for yourself? If so, this book is for you as it is written as a teaching guide. The book aims to teach using example-based learning so you can learn data analysis and problem-solving at the Black Belt level. The author recognised that Six Sigma Green and Black belts need more support to understand the complex statistical techniques used within Six Sigma, but this had to be delivered effectively. In this book the author uses his experience of industrial process improvement and Minitab training to provide Six Sigma Black Belts the learning support they need to drive Minitab 18. Key Features of this book are: -Covers all main topics used by Six Sigma Black Belts. -It builds on the learning gained in the Green Belts Edition.-The main Six Sigma tools are explained in easy to understand language.-It uses example-based learning with hundreds of screenshots in the book.-The book uses brand new data sets for examples and exercises. All available to download from www.rmksixsigma.com.
Intro to Statistical Quality Control 5th Edition with Minitab Student Release 14 Set
| Author | : Douglas C. Montgomery |
| Publisher | : |
| Total Pages | : 776 |
| Release | : 2004-07-27 |
| Genre | : |
| ISBN | : 9780471711087 |
Deals with the use of modern statistical methods for quality control and improvement. This book provides comprehensive coverage of the subject from basic principles to advanced concepts and applications. It reflects contemporary practice and covers information on management aspects of quality improvement.
Statistical Quality Control
| Author | : Bhisham C. Gupta |
| Publisher | : John Wiley & Sons |
| Total Pages | : 404 |
| Release | : 2021-04-27 |
| Genre | : Technology & Engineering |
| ISBN | : 1119671639 |
STATISTICAL QUALITY CONTROL Provides a basic understanding of statistical quality control (SQC) and demonstrates how to apply the techniques of SQC to improve the quality of products in various sectors This book introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python begins with a brief discussion of the different types of data encountered in various fields of statistical applications and introduces graphical and numerical tools needed to conduct preliminary analysis of the data. It then discusses the basic concept of statistical quality control (SQC) and Six Sigma Methodology and examines the different types of sampling methods encountered when sampling schemes are used to study certain populations. The book also covers Phase 1 Control Charts for variables and attributes; Phase II Control Charts to detect small shifts; the various types of Process Capability Indices (CPI); certain aspects of Measurement System Analysis (MSA); various aspects of PRE-control; and more. This helpful guide also Focuses on the learning and understanding of statistical quality control for second and third year undergraduates and practitioners in the field Discusses aspects of Six Sigma Methodology Teaches readers to use MINITAB, R, JMP and Python to create and analyze charts Requires no previous knowledge of statistical theory Is supplemented by an instructor-only book companion site featuring data sets and a solutions manual to all problems, as well as a student book companion site that includes data sets and a solutions manual to all odd-numbered problems Statistical Quality Control: Using MINITAB, R, JMP and Python is an excellent book for students studying engineering, statistics, management studies, and other related fields and who are interested in learning various techniques of statistical quality control. It also serves as a desk reference for practitioners who work to improve quality in various sectors, such as manufacturing, service, transportation, medical, oil, and financial institutions. It‘s also useful for those who use Six Sigma techniques to improve the quality of products in such areas.
Making Lean Six Sigma Data Sets Minitab Friendly
| Author | : David Rasmusson |
| Publisher | : |
| Total Pages | : 78 |
| Release | : 2009 |
| Genre | : Computers |
| ISBN | : 9780979577109 |
Most people who have been exposed to Lean, Six Sigma, or other process improvement training have learned good data collection, plotting, and analysis methods, along with how to use Minitab statistical software to help with those tasks. However, the sample data files used in training are usually clean and simple and don't reflect what students actually encounter in the real world. The reader will learn an ideal format for Minitab data sets, and two ways for getting a data file formatted optimally for analysis using Minitab or other statistical software.
