Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Some Problems Associated With The Application Of Statistical Methods To Manufacturing Operations
Download Some Problems Associated With The Application Of Statistical Methods To Manufacturing Operations full books in PDF, epub, and Kindle. Read online Some Problems Associated With The Application Of Statistical Methods To Manufacturing Operations ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Some Problems Associated with the Application of Statistical Methods to Manufacturing Operations by : John Lester Greene
Download or read book Some Problems Associated with the Application of Statistical Methods to Manufacturing Operations written by John Lester Greene and published by . This book was released on 1951 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Methods for Six Sigma by : Anand M. Joglekar
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.
Book Synopsis Handbook of Statistical Methods in Manufacturing by : Richard Barrett Clements
Download or read book Handbook of Statistical Methods in Manufacturing written by Richard Barrett Clements and published by . This book was released on 1991 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Case Studies for Industrial Process Improvement by : Veronica Czitrom
Download or read book Statistical Case Studies for Industrial Process Improvement written by Veronica Czitrom and published by SIAM. This book was released on 1997-01-01 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a broad selection of case studies written by professionals in the semiconductor industry that illustrate the use of statistical methods to improve manufacturing processes. These case studies offer engineers, scientists, technicians, and managers numerous examples of best-in-class practices by their peers. Because of the universal nature of statistical applications, the methods described here can be applied to a wide range of industries, including the chemical, biotechnology, automotive, steel, plastics, textile, and food industries. Many industries already benefit from the use of statistical methods, although the semiconductor industry is considered both a leader in and a model for the wide application and effective use of statistics.
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 The Role of Statistics in Business and Industry by : Gerald J. Hahn
Download or read book The Role of Statistics in Business and Industry written by Gerald J. Hahn and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: An insightful guide to the use of statistics for solving key problems in modern-day business and industry This book has been awarded the Technometrics Ziegel Prize for the best book reviewed by the journal in 2010. Technometrics is a journal of statistics for the physical, chemical and engineering sciences, published jointly by the American Society for Quality and the American Statistical Association. Criteria for the award include that the book brings together in one volume a body of material previously only available in scattered research articles and having the potential to significantly improve practice in engineering and science. Highlighting the relevance of statistical methods in everyday applications, The Role of Statistics in Business and Industry bridges the gap between the tools of statistics and their use in today's business world. This one-of-a-kind resource encourages the proactive use of statistics in three well-organized and succinct parts: Setting the Stage provides an introduction to statistics, with a general overview of its uses in business and industry Manufactured Product Applications explains how statistical techniques assist in designing, building, improving, and ensuring the reliability of a wide variety of manufactured products such as appliances, plastic materials, aircraft engines, and locomotives Other Applications describe the role of statistics in pharmaceuticals, finance, and business services, as well as more specialized areas including the food, semiconductor, and communications industries This book is truly unique in that it first describes case studies and key business problems, and then shows how statistics is used to address them, while most literature on the topic does the reverse. This approach provides a comprehensive understanding of common issues and the most effective methods for their treatment. Each chapter concludes with general questions that allow the reader to test their understanding of the presented statistical concepts as well as technical questions that raise more complex issues. An extensive FTP site provides additional material, including solutions to some of the applications. With its accessible style and real-world examples, The Role of Statistics in Business and Industry is a valuable supplement for courses on applied statistics and statistical consulting at the upper-undergraduate and graduate levels. It is also an ideal resource for early-career statisticians and practitioners who would like to learn the value of applying statistics to their everyday work.
Book Synopsis Applications of Statistical Methods to Factory Management Problems by : Halsey N. Broom
Download or read book Applications of Statistical Methods to Factory Management Problems written by Halsey N. Broom and published by . This book was released on 1950 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Practice in Business and Industry by : Shirley Coleman
Download or read book Statistical Practice in Business and Industry written by Shirley Coleman and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry. These include applications from a range of industries that include micro-electronics, chemical, automotive, engineering, food, component assembly, household goods and plastics. Methods range from basic graphical approaches to generalised modelling, from designed experiments to process control. Solutions cover produce and process design, through manufacture to packaging and delivery, from single responses to multivariate problems.
Book Synopsis Statistical Methods for Testing, Development, and Manufacturing by : Forrest W. Breyfogle, III
Download or read book Statistical Methods for Testing, Development, and Manufacturing written by Forrest W. Breyfogle, III and published by John Wiley & Sons. This book was released on 1992-04-16 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clearly illustrates how established techniques can be easily understood and used with a sample size that is smaller than normally envisioned. Provides solutions to complex industrial problems by demonstrating how to define the problem and evaluate it statistically with the aim of accelerating product design testing that requires fewer samples and offers more information with less test effort. Along with examples, it contains detailed additional material presented in tabular form for both easy reference and cross-reference.
Book Synopsis Industrial Statistics by : Anand M. Joglekar
Download or read book Industrial Statistics written by Anand M. Joglekar and published by John Wiley & Sons. This book was released on 2010-04-30 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: HELPS YOU FULLY LEVERAGE STATISTICAL METHODS TO IMPROVE INDUSTRIAL PERFORMANCE Industrial Statistics guides you through ten practical statistical methods that have broad applications in many different industries for enhancing research, product design, process design, validation, manufacturing, and continuous improvement. As you progress through the book, you'll discover some valuable methods that are currently underutilized in industry as well as other methods that are often not used correctly. With twenty-five years of teaching and consulting experience, author Anand Joglekar has helped a diverse group of companies reduce costs, accelerate product development, and improve operations through the effective implementation of statistical methods. Based on his experience working with both clients and students, Dr. Joglekar focuses on real-world problem-solving. For each statistical method, the book: Presents the most important underlying concepts clearly and succinctly Minimizes mathematical details that can be delegated to a computer Illustrates applications with numerous practical examples Offers a "Questions to Ask" section at the end of each chapter to assist you with implementation The last chapter consists of 100 practical questions followed by their answers. If you're already familiar with statistical methods, you may want to take the test first to determine which methods to focus on. By helping readers fully leverage statistical methods to improve industrial performance, this book becomes an ideal reference and self-study guide for scientists, engineers, managers and other technical professionals across a wide range of industries. In addition, its clear explanations and examples make it highly suited as a textbook for undergraduate and graduate courses in statistics.
Book Synopsis Statistical Process Control by : John S Oakland
Download or read book Statistical Process Control written by John S Oakland and published by Routledge. This book was released on 2012-05-23 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: A highly successful title from one of the UK's leading exponents of TQM. The book features user-friendly presentation and reflects the latest thinking in the field. It will serve as a textbook for self or group instruction for both student and practicing engineers, scientists, technologists and managers and will prove invaluable to all. Statistical process control is a tool, which enables both manufacturers and suppliers to achieve control of product quality by means of the application of statistical methods in the controlling process. This book gives the foundations of good quality management and process control, including an explanation of what quality is, and control of conformance and consistency during production. The text offers clear guidance and help to those unfamiliar with either quality control or statistical applications and coves all the necessary theory and techniques in a practical and non-mathematical manner. This book will be essential reading for anyone wishing to understand or implement modern statistical process control techniques.
Book Synopsis Application Areas for Statistical Methods by :
Download or read book Application Areas for Statistical Methods written by and published by . This book was released on 1976 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Factors which affect product quality can be divided into two major categories: technological and human. Effective control over these factors requires controls at all important stages of production. Facilities selected for machining and processing and for assembly and packaging are an important determinant of the cost and quality. If selected measuring equipment, processes, machines and materials are sufficiently accurate to provide an in-tolerance part, reasonable costs and acceptable quality can be expected. On the other hand, if processing equipment cannot consistently provide an in-tolerance part, high costs, scrap and rework are inevitable outcomes. In a particular situation, a study may dwell on an established process (e.g., a vendor's) or on controllable process variables defining several potential processes. Hence, two general areas of application for statistical methods which are of interest are as follows: (1) determining manufacturing process capability for an established process; and (2) optimizing a product characteristic with respect to controllable process variables. The paper cites a few quality problems within each of these areas, presents examples as illustrations, lists applicable statistical methods and lists the applicable BKC computer routines which BKC has used to facilitate the solution.
Book Synopsis Handbook of Experimental Methods for Process Improvement by : David C. Drain
Download or read book Handbook of Experimental Methods for Process Improvement written by David C. Drain and published by Springer. This book was released on 2013-04-26 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was written to provide working engineers and engineering students with the statistical tools they must understand to improve manufacturing processes. Statistical principles are illustrated with authentic manufacturing process ex amples from the semiconductor industry, a practice that enables experienced en gineers to build upon existing knowledge to learn new skills, and which introduces students to a fascinating industry. The first book in this series, Statistical Methods For Industrial Process Control, gives background on the industry, and provides statistical understanding prerequisite to applying the methods in this text. This text emphasizes the application of statistical tools, rather than statistical the ory. Modem advances in statistical software have made tedious computations and formula memorization unnecessary, so engineers with knowledge of a few statisti cal tools can competently practice statistics within the context of their profession. Software use is demonstrated throughout the book to promote better under standing through graphical and statistical analysis. A statistical software appendix gives example Statistical Analysis System (SAS)l programs sufficient to perform 2 the analyses in the text. Some examples are shown with Minitab as well. Review problems at the end of each chapter give readers a chance to deepen their understanding. Answers to selected problems can be found at the end of the book. lSAS is a trademark of SAS Institute Inc., SAS Campus Drive, Cary, NC 27513. 2Minitab is a trademark of Minitab, Inc., 3081 Enterprise Drive, State College, PA 16801.
Book Synopsis Statistical Procedures for the Medical Device Industry by : Wayne A. Taylor
Download or read book Statistical Procedures for the Medical Device Industry written by Wayne A. Taylor and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Methods for Industrial Process Control by : David .C. Drain
Download or read book Statistical Methods for Industrial Process Control written by David .C. Drain and published by CRC Press. This book was released on 1997-02-01 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: To practice engineering effectively, engineers must need to have a working knowledge of statistical concepts and methods. What they do not need is a background heavy on statistical theory and number crunching. Statistical Methods for Industrial Process Control provides the practical statistics foundation engineers can immediately apply to the work they do every day, regardless of their industry or specialty. The author illustrates statistical concepts and methods with authentic semiconductor manufacturing process examples-integrated circuit fabrication is an exceedingly rich medium for communicating statistical concepts. However, once learned, these concepts and methods can easily be extended and applied to a variety of other industries. The text emphasizes the application of statistical tools, rather than statistical theory. Modern advances in statistical software have made tedious computations and formula memorization unnecessary. Therefore, the author demonstrates software use throughout the book and supplies MINITAB examples and SAS programs. Review problems at the end of each chapter challenge and deepen readers' understanding of the material. Statistical Methods for Industrial Process Control addresses topics that support the work engineers do, rather than educate them as statisticians, and these topics also reflect modern usage. It effectively introduces novice engineers to a fascinating industry and enables experienced engineers to build upon their existing knowledge and learn new skills.
Book Synopsis Statistical Method from the Viewpoint of Quality Control by : Walter Andrew Shewhart
Download or read book Statistical Method from the Viewpoint of Quality Control written by Walter Andrew Shewhart and published by . This book was released on 1939 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of statistical methods in mass production make possible the most efficient use of raw materials and manufacturing processes, economical production, and the highest standards of quality for manufactured goods. In this classic volume, based on a series of ground-breaking lectures given to the Graduate School of the Department of Agriculture in 1938, Dr. Shewhart illuminated the fundamental principles and techniques basic to the efficient use of statistical method in attaining statistical control, establishing tolerance limits, presenting data, and specifying accuracy and precision. In the first chapter, devoted to statistical control, the author broadly defines the three steps in quality control: specification, production, and inspection; then outlines the historical background of quality control. This is followed by a rigorous discussion of the physical and mathematical states of statistical control, statistical control as an operation, the significance of statistical control and the future of statistics in mass production. Chapter II offers a thought-provoking treatment of the problem of establishing limits of variability, including the meaning of tolerance limits, establishing tolerance limits in the simplest cases and in practical cases, and standard methods of measuring. Chapter III explores the presentation of measurements of physical properties and constants. Among the topics considered are measurements presented as original data, characteristics of original data, summarizing original data (both by symmetric functions and by Tchebycheff's theorem), measurement presented as meaningful predictions, and measurement presented as knowledge. Finally, Dr. Shewhart deals with the problem of specifying accuracy and precision -- the meaning of accuracy and precision, operational meaning, verifiable procedures, minimum quantity of evidence needed for forming a judgment and more.
Book Synopsis Modern Industrial Statistics by : Ron S. Kenett
Download or read book Modern Industrial Statistics written by Ron S. Kenett and published by John Wiley & Sons. This book was released on 2021-04-28 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern Industrial Statistics The new edition of the prime reference on the tools of statistics used in industry and services, integrating theoretical, practical, and computer-based approaches Modern Industrial Statistics is a leading reference and guide to the statistics tools widely used in industry and services. Designed to help professionals and students easily access relevant theoretical and practical information in a single volume, this standard resource employs a computer-intensive approach to industrial statistics and provides numerous examples and procedures in the popular R language and for MINITAB and JMP statistical analysis software. Divided into two parts, the text covers the principles of statistical thinking and analysis, bootstrapping, predictive analytics, Bayesian inference, time series analysis, acceptance sampling, statistical process control, design and analysis of experiments, simulation and computer experiments, and reliability and survival analysis. Part A, on computer age statistical analysis, can be used in general courses on analytics and statistics. Part B is focused on industrial statistics applications. The fully revised third edition covers the latest techniques in R, MINITAB and JMP, and features brand-new coverage of time series analysis, predictive analytics and Bayesian inference. New and expanded simulation activities, examples, and case studies—drawn from the electronics, metal work, pharmaceutical, and financial industries—are complemented by additional computer and modeling methods. Helping readers develop skills for modeling data and designing experiments, this comprehensive volume: Explains the use of computer-based methods such as bootstrapping and data visualization Covers nonstandard techniques and applications of industrial statistical process control (SPC) charts Contains numerous problems, exercises, and data sets representing real-life case studies of statistical work in various business and industry settings Includes access to a companion website that contains an introduction to R, sample R code, csv files of all data sets, JMP add-ins, and downloadable appendices Provides an author-created R package, mistat, that includes all data sets and statistical analysis applications used in the book Part of the acclaimed Statistics in Practice series, Modern Industrial Statistics with Applications in R, MINITAB, and JMP, Third Edition, is the perfect textbook for advanced undergraduate and postgraduate courses in the areas of industrial statistics, quality and reliability engineering, and an important reference for industrial statisticians, researchers, and practitioners in related fields. The mistat R-package is available from the R CRAN repository.
