Download or read book Introduction to Engineering Statistics and Lean Sigma written by Theodore T. Allen and published by Springer Science & Business Media. This book was released on 2010-04-23 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Design for Six Sigma in Technology and Product Development written by Clyde M. Creveling and published by Prentice Hall Professional. This book was released on 2002-10-25 with total page 1011 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses many new topical areas for the development of 6 Sigma performance. The text is structured to demonstrate how 6 Sigma methods can be used as a very powerful tool within System Engineering and integration evaluations to help enable the process of Critical Parameter Management. The case studies and examples used throughout the book come from recent successful applications of the material developed in the text.

Download or read book Design for Six Sigma Statistics written by Andrew Sleeper and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Design for Six Sigma Statistics Chapter 1 Engineering in a Six Sigma Company written by Andrew Sleeper and published by McGraw Hill Professional. This book was released on 2005-12-05 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

Download or read book Visual Six Sigma written by Ian Cox and published by John Wiley & Sons. This book was released on 2016-06-27 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Streamline data analysis with an intuitive, visual Six Sigma strategy Visual Six Sigma provides the statistical techniques that help you get more information from your data. A unique emphasis on the visual allows you to take a more active role in data-driven decision making, so you can leverage your contextual knowledge to pose relevant questions and make more sound decisions. You'll learn dynamic visualization and exploratory data analysis techniques that help you identify occurrences and sources of variation, and the strategies and processes that make Six Sigma work for your organization. The Six Sigma strategy helps you identify and remove causes of defects and errors in manufacturing and business processes; the more pragmatic Visual approach opens the strategy beyond the realms of statisticians to provide value to all business leaders amid the growing need for more accessible quality management tools. See where, why, and how your data varies Find clues to underlying behavior in your data Identify key models and drivers Build your own Six-Sigma experience Whether your work involves a Six Sigma improvement project, a design project, a data-mining inquiry, or a scientific study, this practical breakthrough guide equips you with the skills and understanding to get more from your data. With intuitive, easy-to-use tools and clear explanations, Visual Six Sigma is a roadmap to putting this strategy to work for your company.

Download or read book Design for Six Sigma written by Geoff Tennant and published by Gower Publishing, Ltd.. This book was released on 2002 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Six Sigma provides an overarching concept, methodology and the tools to improve quality and customer satisfaction, thereby increasing profitability. This book moves beyond applying Six Sigma to already exisiting products and services to quantifying, designing and measuring success in from the start.Most new ideas are launched on the market without taking customer needs into account. Failings are discovered in the marketplace where products or services then have to be refined and redesigned - indeed perhaps some 80% of new products or services will fail altogether. By using the Six Sigma approach to designing new products and services the chances of failure are greatly reduced. Six Sigma encourages innovation within a controlled framework, leading to better products and services brought to the marketplace more quickly.This book aims to provide a detailed resource of guidance and inspiration covering all the aspects of business strategy, product/service design, project management and execution necessary for the successful introduction of new products and services, all under the auspices of a customer-focused Six Sigma approach. Moreover it provides a tangible way of measuring satisfaction and the success of the new.

Download or read book Design for Six Sigma Statistics written by Andrew D. Sleeper and published by McGraw Hill Professional. This book was released on 2005-12-05 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than an introduction to statistical concepts and methods; this comprehensive resource provides sophisticated Six Sigma practitioners with the statistical tools necessary for rooting out and solving problems associated with product or service design. --

Download or read book Six Sigma Statistics with EXCEL and MINITAB written by Issa Bass and published by McGraw Hill Professional. This book was released on 2007-07-18 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Robust Design For Quality Engineering And Six Sigma written by Sung Hyun Park and published by World Scientific Publishing Company. This book was released on 2008-09-26 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written primarily for engineers and researchers who use statistical robust design for quality engineering and Six Sigma, and for statisticians who wish to know about the wide range of applications of experimental design in industry. It is a valuable guide and reference material for students, managers, quality improvement specialists and other professionals interested in Taguchi's robust design methods as well as the implementation of Six Sigma. This book can also be useful to those who would like to learn about the role of Robust Design within the Six Sigma (Improve phase) methodology and Design for Six Sigma (DFSS) (Optimize) methodology. It combines classical experimental design methods with those of Taguchi's robust designs, demonstrating their prowess in DFSS and suggesting new directions for the development of statistical design and analysis.

Download or read book Design for Six Sigma Statistics Chapter 7 Detecting Changes written by Andrew Sleeper and published by McGraw Hill Professional. This book was released on 2005-12-05 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

Download or read book Design for Six Sigma Statistics Chapter 11 Predicting the Variation Caused by Tolerances written by Andrew Sleeper and published by McGraw Hill Professional. This book was released on 2005-12-05 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

Download or read book Design for Six Sigma Statistics written by Andrew Sleeper and published by McGraw Hill Professional. This book was released on 2005-12-23 with total page 882 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s competitive environment, companies can no longer produce goods and services that are merely good with low defect levels, they have to be near-perfect. Design for Six Sigma Statistics is a rigorous mathematical roadmap to help companies reach this goal. As the sixth book in the Six Sigma operations series, this comprehensive book goes beyond an introduction to the statistical tools and methods found in most books but contains expert case studies, equations and step by step MINTAB instruction for performing: DFSS Design of Experiments, Measuring Process Capability, Statistical Tolerancing in DFSS and DFSS Techniques within the Supply Chain for Improved Results. The aim is to help you better diagnosis and root out potential problems before your product or service is even launched.

Download or read book Statistical Methods for Six Sigma written by Anand M. Joglekar and published by John Wiley & Sons. This book was released on 2003-09-19 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Design for Six Sigma Statistics Chapter 8 Detecting Changes in Discrete Data written by Andrew Sleeper and published by McGraw Hill Professional. This book was released on 2005-12-05 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

Download or read book Statistical Tolerancing in Design for Six Sigma Digital Short Cut written by Randy C. Perry and published by Pearson Education. This book was released on 2006-08-28 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook version of the printed book. Development of a new product requires the product development team to address many complex customer requirements during the commercialization process. Consider a situation in which a new product being developed must meet specified upper and lower specification limits based on Voice of the Customer interviews. The design team must model and understand the sources of potential variation in the new product that need to be monitored and controlled if the product is to meet the identified customer needs. The process of analyzing component variation and designing a final product that meets customer tolerance requirements is known as statistical tolerancing. In this Short Cut, various Design for Six Sigma techniques for determining the impact of multiple sources of variation on a final product are examined in detail. A procedure is described for using representative models for individual product components to estimate the expected overall level of variation in the performance of a final product. Three methods of tolerance analysis are presented and the merits of each are discussed: Worst Case Analysis, Root Sum of Squares Analysis, and Six Sigma Tolerance Analysis. A detailed case study example, involving multiple sources of variation, is employed to illustrate the application of these methods. Minitab® is used to identify the best-fitting distributions from data sets for individual components. Monte Carlo Simulation with Crystal Ball® is then employed to determine the most important individual sources of variation and the overall variation of the final product. Finally, Crystal Ball's OptQuest® optimization feature is utilized to determine the required design value for each key parameter to meet final customer requirements. Contents What This Short Cut Covers Introduction Worst Case Analysis Root Sum of Squares Analysis Six Sigma Tolerance Analysis What's in the Book Commercializing Great Products with Design for Six Sigma About the Authors Related Publications

Download or read book Design for Six Sigma Statistics Chapter 6 Measuring Process Capability written by Andrew Sleeper and published by McGraw Hill Professional. This book was released on 2005-12-05 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

Download or read book Design for Six Sigma for Engineers written by Matthew Hu and published by Quality, Reliability and Engin. This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design for Six Sigma (DFSS) is a systematic approach for manufacturing companies to address product and process issues at the early development stage. Through inventive thought processes, early error elimination, and robust design, DFSS has dramatically impacted product quality and performance and increased profit. In this comprehensive volume, the four-phase IDOV -- Identify-Design-Optimize-Verify -- DFSS methodology is discussed in detail. The various practices from inventive design methodologies, deterministic and stochastic numerical methods, and the use of CAE simulation techniques, are mapped to the DFSS procedure. Many case studies are used to illustrate how tools are used in DFSS processes. Written by DFSS practitioners and technologists, this book is intended for any engineer to use as a reference in executing DFSS projects.