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Statistical Problem Solving In Quality Engineering
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Book Synopsis Statistical Problem Solving in Quality Engineering by : Thomas J. Kaźmierski
Download or read book Statistical Problem Solving in Quality Engineering written by Thomas J. Kaźmierski and published by McGraw-Hill Companies. This book was released on 1995 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This hands-on book provides a simplified systems for solving quality problems in design and manufacturing using statistics. It covers methods for problem identificaiton, root cause analysist, and corrective action implementation. It aims to provide engineers and managers with proactive tools to avoid costly errors in prodcut desing and manufacturing.
Book Synopsis Statistical Problem Solving by : Wendell E. Carr
Download or read book Statistical Problem Solving written by Wendell E. Carr and published by CRC Press. This book was released on 1992-05-01 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A First Course in Quality Engineering by : K.S. Krishnamoorthi
Download or read book A First Course in Quality Engineering written by K.S. Krishnamoorthi and published by CRC Press. This book was released on 2011-08-29 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: Completely revised and updated, A First Course in Quality Engineering: Integrating Statistical and Management Methods of Quality, Second Edition contains virtually all the information an engineer needs to function as a quality engineer. The authors not only break things down very simply but also give a full understanding of why each topic covered is essential to learning proper quality management. They present the information in a manner that builds a strong foundation in quality management without overwhelming readers. See what’s new in the new edition: Reflects changes in the latest revision of the ISO 9000 Standards and the Baldrige Award criteria Includes new mini-projects and examples throughout Incorporates Lean methods for reducing cycle time, increasing throughput, and reducing waste Contains increased coverage of strategic planning This text covers management and statistical methods of quality engineering in an integrative manner, unlike other books on the subject that focus primarily on one of the two areas of quality. The authors illustrate the use of quality methods with examples drawn from their consulting work, using a reader-friendly style that makes the material approachable and encourages self-study. They cover the must-know fundamentals of probability and statistics and make extensive use of computer software to illustrate the use of the computer in solving quality problems. Reorganized to make the book suitable for self study, the second edition discusses how to design Total Quality System that works. With detailed coverage of the management and statistical tools needed to make the system perform well, the book provides a useful reference for professionals who need to implement quality systems in any environment and candidates preparing for the exams to qualify as a certified quality engineer (CQE).
Book Synopsis Statistics for Engineering Problem-solving by : Stephen B. Vardeman
Download or read book Statistics for Engineering Problem-solving written by Stephen B. Vardeman and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Engineering by : Stefan H. Steiner
Download or read book Statistical Engineering written by Stefan H. Steiner and published by Quality Press. This book was released on 2005-01-02 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis A First Course in Quality Engineering by : K.S. Krishnamoorthi
Download or read book A First Course in Quality Engineering written by K.S. Krishnamoorthi and published by CRC Press. This book was released on 2018-09-03 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the leader among the new generation of text books on quality that follow the systems approach to creating quality in products and services; the earlier generations focused solely on parts of the system such as statistical methods, process control, and management philosophy. It follows the premise that the body of knowledge and tools documented by quality professionals and researchers, when employed in designing, creating and delivering the product will lead to product quality, customer satisfaction and reduced waste. The tools employed at the different stages of the product creation cycle are covered in this book using real world examples along with their theoretical bases, strengths and weaknesses. This textbook can be used for training - from shop floor personnel to college majors in business and engineering to practicing professionals. Graduate students training as researchers in the quality field will also find useful material. The book has been used as the text for a Professional Series Massive Open Online Course offered by the Technical University of Munich on edX.org, through which tens of thousands of participants from all over the world have received training in quality methods. According to Professor Dr. Holly Ott, who chose the book for the course, the text is one of the main factors contributing to success of this MOOC. The Third Edition has been fully revised to be friendly for self-study, reflects changes in the standards referenced such as ISO 9000, and includes new examples of application of statistical tools in health care industry. Features: Reviews the history of quality movement in the U.S. and abroad Discusses Quality Cost analysis and quality’s impact on a company’s bottom line Explains finding customer needs and designing the product using House of Quality Covers selection of product parameters using DOE and reliability principles Includes control charts to control processes to make the product right-the-first-time Describes use of capability indices Cp and Cpk to meet customer needs Presents problem solving methodology and tools for continuous improvement Offers ISO 9000, Baldrige and Six Sigma as templates for creating a quality system
Book Synopsis Introduction to Statistical Quality Control by : Christina M. Mastrangelo
Download or read book Introduction to Statistical Quality Control written by Christina M. Mastrangelo and published by Wiley. This book was released on 1991 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revised and expanded, this Second Edition continues to explore the modern practice of statistical quality control, providing comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a thorough grounding in the principles of statistical quality control and a basis for applying those principles in a wide variety of both product and nonproduct situations. Divided into four parts, it contains numerous changes, including a more detailed discussion of the basic SPC problem-solving tools and two new case studies, expanded treatment on variable control charts with new examples, a chapter devoted entirely to cumulative-sum control charts and exponentially-weighted, moving-average control charts, and a new section on process improvement with designed experiments.
Book Synopsis Statistical Methods for Quality Assurance by : Stephen B. Vardeman
Download or read book Statistical Methods for Quality Assurance written by Stephen B. Vardeman and published by Springer. This book was released on 2016-08-26 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This undergraduate statistical quality assurance textbook clearly shows with real projects, cases and data sets how statistical quality control tools are used in practice. Among the topics covered is a practical evaluation of measurement effectiveness for both continuous and discrete data. Gauge Reproducibility and Repeatability methodology (including confidence intervals for Repeatability, Reproducibility and the Gauge Capability Ratio) is thoroughly developed. Process capability indices and corresponding confidence intervals are also explained. In addition to process monitoring techniques, experimental design and analysis for process improvement are carefully presented. Factorial and Fractional Factorial arrangements of treatments and Response Surface methods are covered. Integrated throughout the book are rich sets of examples and problems that help readers gain a better understanding of where and how to apply statistical quality control tools. These large and realistic problem sets in combination with the streamlined approach of the text and extensive supporting material facilitate reader understanding. Second Edition Improvements Extensive coverage of measurement quality evaluation (in addition to ANOVA Gauge R&R methodologies) New end-of-section exercises and revised-end-of-chapter exercises Two full sets of slides, one with audio to assist student preparation outside-of-class and another appropriate for professors’ lectures Substantial supporting material Supporting Material Seven R programs that support variables and attributes control chart construction and analyses, Gauge R&R methods, analyses of Fractional Factorial studies, Propagation of Error analyses and Response Surface analyses Documentation for the R programs Excel data files associated with the end-of-chapter problem sets, most from real engineering settings
Book Synopsis Quality Engineering Handbook by : Thomas Pyzdek
Download or read book Quality Engineering Handbook written by Thomas Pyzdek and published by CRC Press. This book was released on 2003-04-09 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by one of the foremost authorities on the subject, the Second Edition is completely revised to reflect the latest changes to the ASQ Body of Knowledge for the Certified Quality Engineer (CQE). This handbook covers every essential topic required by the quality engineer for day-to-day practices in planning, testing, finance, and management and thoroughly examines and defines the principles and benefits of Six Sigma management and organization. The Quality Engineering Handbook provides new and expanded sections on management systems, leadership and facilitation principles and techniques, training, customer relations, documentation systems, domestic and international standards, and more.
Book Synopsis Introduction to Probability and Statistics for Science, Engineering, and Finance by : Walter A. Rosenkrantz
Download or read book Introduction to Probability and Statistics for Science, Engineering, and Finance written by Walter A. Rosenkrantz and published by CRC Press. This book was released on 2008-07-10 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, Introduction to Probability and Statistics for Science, Engineering, and Finance illustrates the role and scope of statistics and probability in various fields. The text first introduces the basics needed to understand and create
Book Synopsis A First Course in Quality Engineering by : K. S. Krishnamoorthi
Download or read book A First Course in Quality Engineering written by K. S. Krishnamoorthi and published by . This book was released on 2012 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Completely revised and updated, A First Course in Quality Engineering: Integrating Statistical and Management Methods of Quality, Second Edition contains virtually all the information an engineer needs to function as a quality engineer. The authors not only break things down very simply but also give a full understanding of why each topic covered is essential to learning proper quality management. They present the information in a manner that builds a strong foundation in quality management without overwhelming readers.See what's new in the new edition:Reflects changes in the latest revision of the ISO 9000 Standards and the Baldrige Award criteriaIncludes new mini-projects and examples throughoutIncorporates Lean methods for reducing cycle time, increasing throughput, and reducing wasteContains increased coverage of strategic planningThis text covers management and statistical methods of quality engineering in an integrative manner, unlike other books on the subject that focus primarily on one of the two areas of quality. The authors illustrate the use of quality methods with examples drawn from their consulting work, using a reader-friendly style that makes the material approachable and encourages self-study. They cover the must-know fundamentals of probability and statistics and make extensive use of computer software to illustrate the use of the computer in solving quality problems. Reorganized to make the book suitable for self study, the second edition discusses how to design Total Quality System that works. With detailed coverage of the management and statistical tools needed to make the system perform well, the book provides a useful reference for professionals who need to implement quality systems in any environment and candidates preparing for the exams to qualify as a certified quality engineer (CQE)"--
Book Synopsis Problem Solving for New Engineers by : Melisa Buie
Download or read book Problem Solving for New Engineers written by Melisa Buie and published by CRC Press. This book was released on 2017-07-20 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings a fresh new approach to practical problem solving in engineering, covering the critical concepts and ideas that engineers must understand to solve engineering problems. Problem Solving for New Engineers: What Every Engineering Manager Wants You to Know provides strategy and tools needed for new engineers and scientists to become apprentice experimenters armed only with a problem to solve and knowledge of their subject matter. When engineers graduate, they enter the work force with only one part of what’s needed to effectively solve problems -- Problem solving requires not just subject matter expertise but an additional knowledge of strategy. With the combination of both knowledge of subject matter and knowledge of strategy, engineering problems can be attacked efficiently. This book develops strategy for minimizing, eliminating, and finally controlling unwanted variation such that all intentional variation is truly representative of the variables of interest.
Book Synopsis Quality Engineering Techniques by : Ramin Rostamkhani
Download or read book Quality Engineering Techniques written by Ramin Rostamkhani and published by CRC Press. This book was released on 2020-05-31 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s industrial and complex world, the progress of change is incredible. The amount of information which needs to be analyzed is very large and time has become more and more limited. Industries and firms of all sizes desire to increase productivity and sustainability to keep their competitive edge in the marketplace. One of the best tools for achieving this is the application of Quality Engineering Techniques (QET). This book will introduce the integrated model and the numerical applications for implementing it.
Book Synopsis Statistical Software Engineering by : National Research Council
Download or read book Statistical Software Engineering written by National Research Council and published by National Academies Press. This book was released on 1996-03-15 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering. It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the "big picture," as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production.
Book Synopsis A First Course in Quality Engineering by :
Download or read book A First Course in Quality Engineering written by and published by CRC Press. This book was released on 2011-08-29 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: Completely revised and updated, A First Course in Quality Engineering: Integrating Statistical and Management Methods of Quality, Second Edition contains virtually all the information an engineer needs to function as a quality engineer. The authors not only break things down very simply but also give a full understanding of why each topic covered i
Book Synopsis Introduction to Engineering Statistics and Lean Sigma by : Theodore T. Allen
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 572 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.
Book Synopsis Soren Bisgaard’s Contributions to Quality Engineering by : Ronald J.M.M. Does
Download or read book Soren Bisgaard’s Contributions to Quality Engineering written by Ronald J.M.M. Does and published by Quality Press. This book was released on 2017-04-27 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Søren Bisgaard was an extremely productive and insightful scholar of modern industrial statistics and quality engineering. He was amazing for both his breadth of interests and the depth of his scholarship. Søren was one of the very few people making substantial contributions in so many basic areas in statistics and quality engineering. This compilation collects 31 of his works and is divided into four broad areas: Design and Analysis of Experiments Time Series Analysis The Quality Profession Healthcare Engineering This book provides a comprehensive coverage of essential statistical methods for the 2k-p factorial system and shows the basic principles of time series analysis through examples. Furthermore, this book presents the connection between the application of the scientific method and quality improvement, and it points out the importance of quality improvement to tangible financial results. Finally, this book explains the seemingly paradoxical idea that we can enhance quality while reducing cost of healthcare.
