STATISTICAL METHODS FOR QUALITY, RELIABILITY AND MAINTAINABILITY PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download STATISTICAL METHODS FOR QUALITY, RELIABILITY AND MAINTAINABILITY PDF full book. Access full book title STATISTICAL METHODS FOR QUALITY, RELIABILITY AND MAINTAINABILITY by K. MURALIDHARAN. Download full books in PDF and EPUB format.
Author: K. MURALIDHARAN Publisher: PHI Learning Pvt. Ltd. ISBN: 8120345436 Category : Technology & Engineering Languages : en Pages : 365
Book Description
A fine blend of the three disciplines, viz. quality, reliability and maintainability, this book provides a clear understanding of the concepts and discusses their applications using statistical tools and techniques. The concepts are critically assessed and explained to enable their use for management decision-making. The book describes many current topics such as six sigma, capability maturity model integration (CMMI), process data management, reliability system models, repairable system models, maintainability assessment and design and testing concepts. It is intended as a textbook for the undergraduate students of Mechanical Engineering and Production and Industrial Engineering. The book will also be useful to the postgraduate students of Applied Statistics, Quality and Reliability, and Quality and Productivity Management as well as to the management and engineering professionals. KEY FEATURES : Provides charts and plots to explain the concepts discussed. Gives an account of most recent developments. Gives illustrations of practical situations where tools can be applied immediately. Interspersed with plenty of worked-out examples to reinforce the concepts. Includes chapter-end exercises to drill the students in self-study.
Author: K. MURALIDHARAN Publisher: PHI Learning Pvt. Ltd. ISBN: 8120345436 Category : Technology & Engineering Languages : en Pages : 365
Book Description
A fine blend of the three disciplines, viz. quality, reliability and maintainability, this book provides a clear understanding of the concepts and discusses their applications using statistical tools and techniques. The concepts are critically assessed and explained to enable their use for management decision-making. The book describes many current topics such as six sigma, capability maturity model integration (CMMI), process data management, reliability system models, repairable system models, maintainability assessment and design and testing concepts. It is intended as a textbook for the undergraduate students of Mechanical Engineering and Production and Industrial Engineering. The book will also be useful to the postgraduate students of Applied Statistics, Quality and Reliability, and Quality and Productivity Management as well as to the management and engineering professionals. KEY FEATURES : Provides charts and plots to explain the concepts discussed. Gives an account of most recent developments. Gives illustrations of practical situations where tools can be applied immediately. Interspersed with plenty of worked-out examples to reinforce the concepts. Includes chapter-end exercises to drill the students in self-study.
Author: William Q. Meeker Publisher: John Wiley & Sons ISBN: 1118594487 Category : Technology & Engineering Languages : en Pages : 708
Book Description
An authoritative guide to the most recent advances in statistical methods for quantifying reliability Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book’s website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook. The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about commercial software for reliability data analysis, and csv files for the 93 data sets used in the book's examples and exercises. The importance of statistical methods in the area of engineering reliability continues to grow and SMRD2 offers an updated guide for, exploring, modeling, and drawing conclusions from reliability data. SMRD2 features: Contains a wealth of information on modern methods and techniques for reliability data analysis Offers discussions on the practical problem-solving power of various Bayesian inference methods Provides examples of Bayesian data analysis performed using the R interface to the Stan system based on Stan models that are available on the book's website Includes helpful technical-problem and data-analysis exercise sets at the end of every chapter Presents illustrative computer graphics that highlight data, results of analyses, and technical concepts Written for engineers and statisticians in industry and academia, Statistical Methods for Reliability Data, Second Edition offers an authoritative guide to this important topic.
Author: Bo Lindqvist Publisher: World Scientific ISBN: 9812383212 Category : Mathematics Languages : en Pages : 569
Book Description
This book contains extended versions of carefully selected and reviewed papers presented at the Third International Conference on Mathematical Methods in Reliability, held in Norway in 2002. It provides an overview of current research activities in reliability theory. The authors are all leading experts in the field. Readership: Graduate students, academics and professionals in probability & statistics, reliability analysis, survival analysis, industrial engineering, software engineering, operations research and applied mathematics research.
Author: Steven E. Rigdon Publisher: Wiley-Interscience ISBN: 9780471349419 Category : Mathematics Languages : en Pages : 0
Book Description
A unique, practical guide for industry professionals who need to improve product quality and reliability in repairable systems Owing to its vital role in product quality, reliability has been intensely studied in recent decades. Most of this research, however, addresses systems that are nonrepairable and therefore discarded upon failure. Statistical Methods for the Reliability of Repairable Systems fills the gap in the field, focusing exclusively on an important yet long-neglected area of reliability. Written by two highly recognized members of the reliability and statistics community, this new work offers a unique, systematic treatment of probabilistic models used for repairable systems as well as the statistical methods for analyzing data generated from them. Liberally supplemented with examples as well as exercises boasting real data, the book clearly explains the difference between repairable and nonrepairable systems and helps readers develop an understanding of stochastic point processes. Data analysis methods are discussed for both single and multiple systems and include graphical methods, point estimation, interval estimation, hypothesis tests, goodness-of-fit tests, and reliability prediction. Complete with extensive graphs, tables, and references, Statistical Methods for the Reliability of Repairable Systems is an excellent working resource for industry professionals involved in producing reliable systems and a handy reference for practitioners and researchers in the field.
Author: Michael Pecht Publisher: CRC Press ISBN: 1420009893 Category : Business & Economics Languages : en Pages : 482
Book Description
To ensure product reliability, an organization must follow specific practices during the product development process that impact reliability. The second edition of the bestselling Product Reliability, Maintainability, and Supportability Handbook helps professionals identify the shortcomings in the reliability practices of their organizations and em
Author: Michael Pecht Publisher: CRC Press ISBN: 9780849394577 Category : Technology & Engineering Languages : en Pages : 450
Book Description
This unique publication addresses the role of reliability, maintainability, and supportability in the life-cycle of a product, in the context of product effectiveness and worth. It emphasizes all aspects of producing an effective electrical or mechanical system. This is the only handbook available on this subject and the only book that is this comprehensive and informative. The Product Reliability, Maintainability, and Supportability Handbook examines the logistics, cost, and the physics of failure-topics never before found in a single volume on reliability. It describes the factors that affect product effectiveness and worth: performance, reliability, design effectiveness and margin for error, availability, affordability, use effectiveness, and logistic effectiveness. The handbook contains 13 in-depth chapters, opening with an introduction on product effectiveness and worth and concluding with reliability and maintainability data that can be combined with performance data to assess overall effectiveness of the product. The pages are filled with valuable information that can be easily and quickly put to practical use. Basic principles of the mathematical theory of probability and necessary background are provided. Concepts and basic theory of reliability in terms of probability and statistical inference are also given. Techniques for deriving probabilistic models from observational data as well as reliability models and associated validation techniques are detailed. Software and software reliability, quality, and safety are all covered, including the development life-cycle process and mechanisms by which software errors are introduced. The book presents design guidelines and techniques and the requirements for materials, manufacturing, and assembly. Learn how to analyze the reliability of redundant and fault-tolerant products. Use the methods for modeling and analyzing failures of repairable products that normally exhibit wearout characteristics. The Product Reliability, Maintainability, and Supportability Handbook also provides reliability improvement techniques to improve the competitiveness of existing products. The book includes helpful summaries and numerous problem sections to reinforce and test learned information. This reference source is the guide that professionals and technical managers should turn to when they need a comprehensive and detailed overview of everything that goes into producing systems and products that meet customer needs in an effective and timely manner.
Author: Marvin Rausand Publisher: John Wiley & Sons ISBN: 9780471471332 Category : Technology & Engineering Languages : en Pages : 668
Book Description
A thoroughly updated and revised look at system reliability theory Since the first edition of this popular text was published nearly a decade ago, new standards have changed the focus of reliability engineering and introduced new concepts and terminology not previously addressed in the engineering literature. Consequently, the Second Edition of System Reliability Theory: Models, Statistical Methods, and Applications has been thoroughly rewritten and updated to meet current standards. To maximize its value as a pedagogical tool, the Second Edition features: Additional chapters on reliability of maintained systems and reliability assessment of safety-critical systems Discussion of basic assessment methods for operational availability and production regularity New concepts and terminology not covered in the first edition Revised sequencing of chapters for better pedagogical structure New problems, examples, and cases for a more applied focus An accompanying Web site with solutions, overheads, and supplementary information With its updated practical focus, incorporation of industry feedback, and many new examples based on real industry problems and data, the Second Edition of this important text should prove to be more useful than ever for students, instructors, and researchers alike.
Author: Alessandro Birolini Publisher: Springer Science & Business Media ISBN: 3662029707 Category : Technology & Engineering Languages : en Pages : 538
Book Description
High reliability, maintainability, and safety are expected from complex equipment and systems. To build these characteristics into an item, failure rate and failure mode analyses have to be performed early in the design phase, starting at the com ponent level, and have to be supported by a set of design guidelines for reliability and maintainability as well as by extensive design reviews. Before production, qualification tests of prototypes must ensure that quality and reliability targets have been reached. In the production phase, processes and procedures have to be selec ted and monitored to assure the required quality level. For many systems, availabi lity requirements must also be satisfied. In these cases, stochastic processes can be used to investigate and optimize availability, including logistical support. This book presents the state of the art of the methods and procedures necessary for a cost and time effective quality and reliability assurance during the design and production of equipment and systems. It takes into consideration that: 1. Quality and reliability assurance of complex equipment and systems requires that all engineers involved in a project undertake a set of specific activities from the definition to the operating phase, which are performed concurrently to achieve the best performance, quality, and reliability for given cost and time schedule targets.
Author: Hoang Pham Publisher: Springer Nature ISBN: 3030434125 Category : Technology & Engineering Languages : en Pages : 325
Book Description
This book presents the latest developments in both qualitative and quantitative computational methods for reliability and statistics, as well as their applications. Consisting of contributions from active researchers and experienced practitioners in the field, it fills the gap between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18 chapters. It covers (1) modeling in and methods for reliability computing, with chapters dedicated to predicted reliability modeling, optimal maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep learning approaches for sentiment analysis and recommendation systems; and (3) applications and case studies, such as modeling innovation paths of European firms, aircraft components, bus safety analysis, performance prediction in textile finishing processes, and movie recommendation systems. Given its scope, the book will appeal to postgraduates, researchers, professors, scientists, and practitioners in a range of fields, including reliability engineering and management, maintenance engineering, quality management, statistics, computer science and engineering, mechanical engineering, business analytics, and data science.
Author: K. MURALIDHARAN
Author: K. MURALIDHARAN
Author: William Q. Meeker
Author: Bo Lindqvist
Author: Steven E. Rigdon
Author: British Standards Institute Staff
Author: Michael Pecht
Author: Michael Pecht
Author: Marvin Rausand
Author: Alessandro Birolini
Author: Hoang Pham