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Author: Theodore T. Allen
Publisher: Springer Science & Business Media
ISBN: 1849960003
Category : Technology & Engineering
Languages : en
Pages : 573
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Book Description
Lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the elements of lean production. Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid. As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include: • control charts and advanced control charts, • failure mode and effects analysis, • Taguchi methods, • gauge R&R, and • genetic algorithms. The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products that work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention. The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners.
Author: Theodore T. Allen
Publisher: Springer Science & Business Media
ISBN: 1849960003
Category : Technology & Engineering
Languages : en
Pages : 573
Get Book Here
Book Description
Lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the elements of lean production. Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid. As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include: • control charts and advanced control charts, • failure mode and effects analysis, • Taguchi methods, • gauge R&R, and • genetic algorithms. The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products that work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention. The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners.
Author: Alexander Holmes
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 1801
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Book Description
Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Author: Emilio L. Cano
Publisher: Springer Science & Business Media
ISBN: 1461436524
Category : Mathematics
Languages : en
Pages : 296
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Book Description
Six Sigma has arisen in the last two decades as a breakthrough Quality Management Methodology. With Six Sigma, we are solving problems and improving processes using as a basis one of the most powerful tools of human development: the scientific method. For the analysis of data, Six Sigma requires the use of statistical software, being R an Open Source option that fulfills this requirement. R is a software system that includes a programming language widely used in academic and research departments. Nowadays, it is becoming a real alternative within corporate environments. The aim of this book is to show how R can be used as the software tool in the development of Six Sigma projects. The book includes a gentle introduction to Six Sigma and a variety of examples showing how to use R within real situations. It has been conceived as a self contained piece. Therefore, it is addressed not only to Six Sigma practitioners, but also to professionals trying to initiate themselves in this management methodology. The book may be used as a text book as well.
Author: David Levine
Publisher: Pearson Education
ISBN: 9780137017126
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
The only book on the market that provides a simple nonmathematical presentation of the statistics needed by Six Sigma Green Belts. Every concept is explained in plain English with a minimum of mathematical symbols. Includes real-world examples, step by step instructions and sample output for Minitab and JMP software as well as downloadble, ready to use data sets and templates. Includes applications to service industries to help managers understand the role of Six Sigma in nonmanufacturing industries. Acknowledgments xvii About the Author xix Preface xxi Chapter 1: Fundamentals of Six Sigma 1 Chapter 2: Introduction to Statistics 7 Chapter 3: Presenting Data in Charts and Tables 23 Chapter 4: Descriptive Statistics 39 Chapter 5: Probability and Probability Distributions 59 Chapter 6: Sampling Distributions and Confidence Intervals 95 Chapter 7: Hypothesis Testing 113 Chapter 8: Design of Experiments 157 Chapter 9: Simple Linear Regression 211 Chapter 10: Multiple Regression 241 Chapter 11: Control Charts for Six Sigma Management 279 Appendix A: Review of Arithmetic and Algebra 321 Appendix B: Summation Notation 329 Appendix C: Statistical Tables 333 Appendix D: Documentation of Data Files 347 Glossary 349 Index 359
Author: Alan H. Kvanli
Publisher: South Western Educational Publishing
ISBN: 9780324012071
Category : Business & Economics
Languages : en
Pages : 1114
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Book Description
As with earlier editions, this text fully integrates the use of computers with statistics. This edition has retained the non-intimidating approach to describing the concepts and applications of statistics while giving students the opportunity to observe and actually carry out computer-generated solutions using a statistics package like MINITAB or a spreadsheet package like Excel. The text has also been designed so that those requiring a more traditional calculator-based approach will find an abundance of exercises and examples that can be solved in that manner. A CD-ROM presenting data sets and special Excel macros that Robert Pavur (Professor, U of North Texas) has created will be bound into the back of the book.
Author: Bhisham C. Gupta
Publisher: Quality Press
ISBN: 0873891627
Category : Business & Economics
Languages : en
Pages : 365
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Book Description
This book is a desk reference and instructional aid for those individuals currently involved with, or preparing for involvement with, Six Sigma project teams. As Six Sigma team members, Green Belts help select, collect data for, and assist with the interpretation of a variety of statistical or quantitative tools within the context of the Six Sigma methodology. The second in a four-book series geared specifically for these Green Belt activities, this book provides a thorough discussion of statistical quality control (SQC) tools. These tools are introduced and discussed from the perspective of application rather than theoretical development. From this perspective, readers are taught to consider the SQC tools as statistical “alarm bells” that send signals when there are one or more problems with a particular process. Guidance is also given on the use of Minitab and JMP in doing these various SQC applications. In addition, examples and sample problems from all industries appear throughout the book to aid a Green Belt's comprehension of the material.
Author: Warren Brussee
Publisher: McGraw Hill Professional
ISBN: 0071502025
Category : Business & Economics
Languages : en
Pages : 269
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Book Description
A veteran GE manager explains the tools of Six Sigma--in plain English This is the first simple, low-level guide to using the powerful statistical tools of Six Sigma to solve real-world problems. Warren Brussee, a Six Sigma manager who helped his teams generate millions of dollars in savings, shows how to plot, interpret, and validate data for a Six Sigma project. The basic statistical tools in the book can be applied to manufacturing, sales, marketing, process, equipment design, and more. Best of all, no background in statistics is required to start improving quality and initiating cost-saving improvements right away. Features dozens of Six Sigma statistical problem-solving case studies Presents a simplified form of the most common Six Sigma tools Simplifies Greenbelt training with one concise reference Explains how to use Excel to make Six Sigma problem-solving calculations Includes all the basic Six Sigma formulas and tables
Author: Issa Bass
Publisher: McGraw Hill Professional
ISBN: 007154268X
Category : Technology & Engineering
Languages : en
Pages : 387
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Book Description
Master the Statistical Techniques for Six Sigma Operations, While Boosting Your Excel and Minitab Skills! Now with the help of this “one-stop” resource, operations and production managers can learn all the powerful statistical techniques for Six Sigma operations, while becoming proficient at Excel and Minitab at the same time. Six Sigma Statistics with Excel and Minitab offers a complete guide to Six Sigma statistical methods, plus expert coverage of Excel and Minitab, two of today's most popular programs for statistical analysis and data visualization. Written by a seasoned Six Sigma Master Black Belt, the book explains how to create and interpret dot plots, histograms, and box plots using Minitab...decide on sampling strategies, sample size, and confidence intervals...apply hypothesis tests to compare variance, means, and proportions...conduct a regression and residual analysis...design and analyze an experiment...and much more. Filled with clear, concise accounts of the theory for each statistical method presented, Six Sigma Statistics with Excel and Minitab features: Easy-to-follow explanations of powerful Six Sigma tools A wealth of exercises and case studies 200 graphical illustrations for Excel and Minitab Essential for achieving Six Sigma goals in any organization, Six Sigma Statistics with Excel and Minitab is a unique, skills-building toolkit for mastering a wide range of vital statistical techniques, and for capitalizing on the potential of Excel and Minitab. Six Sigma Statistical with Excel and Minitab offers operations and production managers a complete guide to Six Sigma statistical techniques, together with expert coverage of Excel and Minitab, two of today's most popular programs for statistical analysis and data visualization. Written by Issa Bass, a Six Sigma Master Black Belt with years of hands-on experience in industry, this on-target resource takes readers through the application of each Six Sigma statistical tool, while presenting a straightforward tutorial for effectively utilizing Excel and Minitab. With the help of this essential reference, managers can: Acquire the basic tools for data collection, organization, and description Learn the fundamental principles of probability Create and interpret dot plots, histograms, and box plots using Minitab Decide on sampling strategies, sample size, and confidence intervals Apply hypothesis tests to compare variance, means, and proportions Stay on top of production processes with statistical process control Use process capability analysis to ensure that processes meet customers' expectations Employ analysis of variance to make inferences about more than two population means Conduct a regression and residual analysis Design and analyze an experiment In addition, Six Sigma Statistics with Excel and Minitab enables you to develop a better understanding of the Taguchi Method...use measurement system analysis to find out if measurement processes are accurate...discover how to test ordinal or nominal data with nonparametric statistics...and apply the full range of basic quality tools. Filled with step-by-step exercises, graphical illustrations, and screen shots for performing Six Sigma techniques on Excel and Minitab, the book also provides clear, concise explanations of the theory for each of the statistical tools presented. Authoritative and comprehensive, Six Sigma Statistics with Excel and Minitab is a valuable skills-building resource for mastering all the statistical techniques for Six Sigma operations, while harnessing the power of Excel and Minitab.
Author: Clyde M. Creveling
Publisher: Pearson Education
ISBN: 0132712873
Category : Business & Economics
Languages : en
Pages : 322
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Book Description
Nearly half of the top one hundred Fortune 500 companies use Six Sigma methodology in some part of their business. These companies have been among the top one hundred for five or more years and consistently report higher revenue and significantly higher profits than competitors. This underscores the impact on the cost side. Now the focus moves to revenue growth. Six Sigma consultant Clyde M. Creveling’s Design for Six Sigma in Technology and Product Development is the standard guide for product commercialization and manufacturing support engineers who want to apply Six Sigma methodology to technology development and product commercialization. Now, in Six Sigma for Marketing Processes, Creveling joins with Lynne Hambleton and Burke McCarthy to show the ways marketing professionals can adapt and apply those same Six Sigma concepts to create a lean marketing workflow built for growth. This book provides an overview of the way marketing professionals can utilize the value offered by Six Sigma tools, methods, and best practices, within their existing phase-gate processes, as well as the traditional Six Sigma problem-solving approach: define, measure, analyze, improve, control (DMAIC). It provides unique methods for employing Six Sigma to enhance the three marketing processes for enabling a business to attain growth: strategic, tactical, and operational. It goes further to demonstrate the way Six Sigma for marketing and Six Sigma for design can be combined into a unified Six Sigma for growth. In this book, you’ll learn how to apply Six Sigma methodology to Develop a lean, efficient marketing workflow designed for growth Enhance the three marketing arenas for growth: strategic, tactical, and operational Identify leading indicators of growth and become proactive about performance improvement Strengthen links between customers, products, and profitability Redesign marketing work to streamline workflow and reduce variability Assess and mitigate cycle-time risk in any marketing initiative or project Leverage DMAIC to solve specific problems and improve existing processes Use lean techniques to streamline repeatable processes, such as collateral development and trade-show participation Preface xv Acknowledgments xxiii About the Authors xxv Chapter 1: Introduction to Six Sigma for Marketing Processes 1 Chapter 2: Measuring Marketing Performance and Risk Accrual Using Scorecards 25 Chapter 3: Six Sigma-Enabled Project Management in Marketing Processes 45 Chapter 4: Six Sigma in the Strategic Marketing Process 63 Chapter 5: Six Sigma in the Tactical Marketing Process 117 Chapter 6: Six Sigma in the Operational Marketing Process 173 Chapter 7: Quick Review of Traditional DMAIC 209 Chapter 8: Future Trends in Six Sigma and Marketing Processes 229 Glossary 235 Index 261
Author: Theodore Tetreault Allen
Publisher:
ISBN: 9780974591216
Category :
Languages : en
Pages : 414
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Book Description
