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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: Emilio L. Cano
Publisher: Springer Science & Business Media
ISBN: 1461436524
Category : Mathematics
Languages : en
Pages : 296
Get Book Here
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: Emilio L. Cano
Publisher: Springer
ISBN: 3319240463
Category : Business & Economics
Languages : en
Pages : 373
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Book Description
Presenting a practitioner's guide to capabilities and best practices of quality control systems using the R programming language, this volume emphasizes accessibility and ease-of-use through detailed explanations of R code as well as standard statistical methodologies. In the interest of reaching the widest possible audience of quality-control professionals and statisticians, examples throughout are structured to simplify complex equations and data structures, and to demonstrate their applications to quality control processes, such as ISO standards. The volume balances its treatment of key aspects of quality control, statistics, and programming in R, making the text accessible to beginners and expert quality control professionals alike. Several appendices serve as useful references for ISO standards and common tasks performed while applying quality control with R.
Author: Keki R. Bhote
Publisher: AMACOM Div American Mgmt Assn
ISBN: 0814426948
Category : Technology & Engineering
Languages : en
Pages : 367
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Book Description
One of Six SigmaOCOs founding fathers shares his trademarked process for ensuring total quality."
Author: Ron Basu
Publisher: Routledge
ISBN: 1136370439
Category : Business & Economics
Languages : en
Pages : 200
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Book Description
Six Sigma is a data-driven management system with near-perfect performance that is a statistical target of operating with no more that 3.4 defects per one million chances. Six sigma has both created avid interest and raised concerns among executives and its practioners. This is all very well for multinationals like Motorola or General Electric but how can it help small and medium-sized enterprises or the service industry? How do you ensure that solutions stick? Quality Beyond Six Sigma responds to this challenge and provides a practical implementation of the issues of Six Sigma, Lean Enterprise and Total Quality and aligns the 'hard' sigma message with the softer sustainable 'strategic issues'. The result is FIT SIGMA. The authors utilize major and minor case studies to support principles and learnings of FIT SIGMA and include review examples and self-assessment that underpin the sustainable process. The three major case studies are contributed by General Electric, Dow Chemical and Seagate Technology. Senior Executives and Managers of organizations of all types and sizes, Management Consultants and Students of all disciplines will find this book a stimulating guide to quality and operational excellence.
Author: Peter S. Pande
Publisher: McGraw Hill Professional
ISBN: 0071376674
Category : Business & Economics
Languages : en
Pages : 448
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Book Description
An implementation blueprint for SIX SIGMA! "The Six Sigma Way demystifies Six Sigma with a real-world 'how-to 'guide. A good investment for any business planning to launch Six Sigma." John Biedry, VP Quality & Compliance, Sears Home Services. Cost reduction...productivity improvement...customer retention...these are the promises of the Six Sigma quality management system. The Six Sigma Way reveals how GE, Motorola, and numerous other companies are successfully using Six Sigma to fine-tune products and processes, improve performance, and increase profits. Now you can read the roadmap for implementing Six Sigma in your manufacturing or service organization. The authorswho have worked with some of the most visible Six Sigma companies including GEprovide step-by-step guidance and practical implementation guidelines. Whether your goal is to fix a process problem or implement Six Sigma company-wide, The Six Sigma Way will help you develop an approach customized for your company's needs and the challenges of the twenty-first century business environment. The Six Sigma Way: Addresses the challenges and politics of launching, leading, and training people for Six Sigma. Focuses on implementing the major steps and quality improvement tools in the Six Sigma system. Features insights, comments, and examples from business leaders and managers using Six Sigma in their organizations.
Author: Anand M. Joglekar
Publisher: John Wiley & Sons
ISBN: 0471465372
Category : Science
Languages : en
Pages : 339
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Book Description
A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing. Understanding the concepts and specific steps involved in each statistical method is critical for achieving consistent and on-target performance. Written by a recognized educator in the field, Statistical Methods for Six Sigma: In R&D and Manufacturing is specifically geared to engineers, scientists, technical managers, and other technical professionals in industry. Emphasizing practical learning, applications, and performance improvement, Dr. Joglekar?s text shows today?s industry professionals how to: Summarize and interpret data to make decisions Determine the amount of data to collect Compare product and process designs Build equations relating inputs and outputs Establish specifications and validate processes Reduce risk and cost-of-process control Quantify and reduce economic loss due to variability Estimate process capability and plan process improvements Identify key causes and their contributions to variability Analyze and improve measurement systems This long-awaited guide for students and professionals in research, development, quality, and manufacturing does not presume any prior knowledge of statistics. It covers a large number of useful statistical methods compactly, in a language and depth necessary to make successful applications. Statistical methods in this book include: variance components analysis, variance transmission analysis, risk-based control charts, capability and performance indices, quality planning, regression analysis, comparative experiments, descriptive statistics, sample size determination, confidence intervals, tolerance intervals, and measurement systems analysis. The book also contains a wealth of case studies and examples, and features a unique test to evaluate the reader?s understanding of the subject.
Author: Rama Shankar
Publisher: Quality Press
ISBN: 0873897528
Category : Business & Economics
Languages : en
Pages : 129
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Book Description
The purpose of this book is to provide the practitioner with the necessary tools and techniques with which to implement a systematic approach to process improvement initiatives using the Six Sigma methodology.
Author: R. Eric Reidenbach
Publisher:
ISBN: 9780873896832
Category : Performance technology
Languages : en
Pages : 0
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Book Description
Author: Tilman M. Davies
Publisher: No Starch Press
ISBN: 1593276516
Category : Computers
Languages : en
Pages : 833
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Book Description
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
Author: Stefan H. Steiner
Publisher: Quality Press
ISBN: 0873891368
Category : Business & Economics
Languages : en
Pages : 717
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Book Description
Reducing the variation in process outputs is a key part of process improvement. For mass produced components and assemblies, reducing variation can simultaneously reduce overall cost, improve function and increase customer satisfaction with the product. The authors have structured this book around an algorithm for reducing process variation that they call "Statistical Engineering." The algorithm is designed to solve chronic problems on existing high to medium volume manufacturing and assembly processes. The fundamental basis for the algorithm is the belief that we will discover cost effective changes to the process that will reduce variation if we increase our knowledge of how and why a process behaves as it does. A key way to increase process knowledge is to learn empirically, that is, to learn by observation and experimentation. The authors discuss in detail a framework for planning and analyzing empirical investigations, known by its acronym QPDAC (Question, Plan, Data, Analysis, Conclusion). They classify all effective ways to reduce variation into seven approaches. A unique aspect of the algorithm forces early consideration of the feasibility of each of the approaches. Also includes case studies, chapter exercises, chapter supplements, and six appendices. PRAISE FOR Statistical Engineering "I found this book uniquely refreshing. Don't let the title fool you. The methods described in this book are statistically sound but require very little statistics. If you have ever wanted to solve a problem with statistical certainty (without being a statistician) then this book is for you. - A reader in Dayton, OH "This is the most comprehensive treatment of variation reduction methods and insights I’ve ever seen."- Gary M. Hazard Tellabs "Throughout the text emphasis has been placed on teamwork, fixing the obvious before jumping to advanced studies, and cost of implementation. All this makes the manuscript !attractive for real-life application of complex techniques." - Guru Chadhabr Comcast IP Services COMMENTS FROM OTHER CUSTOMERS Average Customer Rating (5 of 5 based on 1 review) "This is NOT a typical book on statistical tools. It is a strategy book on how to search for cost-effective changes to reduce variation using empirical means (i.e. observation and experiment). The uniqueness of this book: Summarizes the seven ways to reduce variation so we know the goal of the data gathering and analysis, present analysis results using graphs instead of P-value, and integrates Taguchi, Shainin methods, and classical statistical approach. It is a must read for those who are in the business of reducing variation using data, in particular for the Six Sigma Black Belts and Master Black Belts. Don't forget to read the solutions to exercises and supplementary materials to each chapter on the enclosed CD-ROM." - A. Wong, Canada
