{"product_id":"reliability-isbn-9780471184508","title":"Reliability","description":"Bringing together business and engineering to reliability analysis With manufactured products exploding in numbers and complexity, reliability studies play an increasingly critical role throughout a product's entire life cycle-from design to post-sale support. Reliability: Modeling, Prediction, and Optimization presents a remarkably broad framework for the analysis of the technical and commercial aspects of product reliability, integrating concepts and methodologies from such diverse areas as engineering, materials science, statistics, probability, operations research, and management. Written in plain language by two highly respected experts in the field, this practical work provides engineers, operations managers, and applied statisticians with both qualitative and quantitative tools for solving a variety of complex, real-world reliability problems. A wealth of examples and case studies accompanies:\u003cbr\u003e * Comprehensive coverage of assessment, prediction, and improvement at each stage of a product's life cycle\u003cbr\u003e * Clear explanations of modeling and analysis for hardware ranging from a single part to whole systems\u003cbr\u003e * Thorough coverage of test design and statistical analysis of reliability data\u003cbr\u003e * A special chapter on software reliability\u003cbr\u003e * Coverage of effective management of reliability, product support, testing, pricing, and related topics\u003cbr\u003e * Lists of sources for technical information, data, and computer programs\u003cbr\u003e * Hundreds of graphs, charts, and tables, as well as over 500 referencesZuverlassigkeitsanalyse wahrend des gesamten Lebenszyklus eines Produktes: Alle theoretischen, statistischen sowie betriebs- und managementrelevanten Aspekte dieses Themas werden in diesem Handbuch besprochen. Die Autoren helfen beim Verstandnis der Zuverlassigkeit als komplexes Phanomen, das von den Gesetzma?igkeiten der Physik, des technischen Designs, der Herstellungsprozesse sowie von den Entscheidungen des Managements und zufalligen Ereignissen gleicherma?en beeinflu?t wird. Ein ausgesprochen interdisziplinares Buch, erganzt durch viele Fallbeispiele und reales Datenmaterial! (11\/00) CONTEXT OF RELIABILITY ANALYSIS.\u003cbr\u003e \u003cbr\u003e An Overview.\u003cbr\u003e \u003cbr\u003e Illustrative Cases and Data Sets.\u003cbr\u003e \u003cbr\u003e BASIC RELIABILITY METHODOLOGY.\u003cbr\u003e \u003cbr\u003e Collection and Preliminary Analysis of Failure Data.\u003cbr\u003e \u003cbr\u003e Probability Distributions for Modeling Time to Failure.\u003cbr\u003e \u003cbr\u003e Basic Statistical Methods for Data Analysis.\u003cbr\u003e \u003cbr\u003e RELIABILITY MODELING, ESTIMATION, AND PREDICTION.\u003cbr\u003e \u003cbr\u003e Modeling Failures at the Component Level.\u003cbr\u003e \u003cbr\u003e Modeling and Analysis of Multicomponent Systems.\u003cbr\u003e \u003cbr\u003e Advanced Statistical Methods for Data Analysis.\u003cbr\u003e \u003cbr\u003e Software Reliability.\u003cbr\u003e \u003cbr\u003e Design of Experiments and Analysis of Variance.\u003cbr\u003e \u003cbr\u003e Model Selection and Validation.\u003cbr\u003e \u003cbr\u003e RELIABILITY MANAGEMENT, IMPROVEMENT, AND OPTIMIZATION.\u003cbr\u003e \u003cbr\u003e Reliability Management.\u003cbr\u003e \u003cbr\u003e Reliability Engineering.\u003cbr\u003e \u003cbr\u003e Reliability Prediction and Assessment.\u003cbr\u003e \u003cbr\u003e Reliability Improvement.\u003cbr\u003e \u003cbr\u003e Maintenance of Unreliable Systems.\u003cbr\u003e \u003cbr\u003e Warranties and Service Contracts.\u003cbr\u003e \u003cbr\u003e Reliability Optimization.\u003cbr\u003e \u003cbr\u003e EPILOGUE.\u003cbr\u003e \u003cbr\u003e Case Studies.\u003cbr\u003e \u003cbr\u003e Resource Materials.\u003cbr\u003e \u003cbr\u003e Appendices.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e Indexes. This book provides a comprehensive overview of both qualitative and quantitative aspects of reliability. Mathematical and statistical concepts related to reliability modeling and analysis are presented along with important bibliography and a listing of resources which includes journals, reliability standards, other publications, and databases. The coverage of individual topics is not always deep, but this should be a valuable reference for any engineer or statisticial working in reliability. (Short Book Reviews, Vol.20, No. 3, December 2000)\u003cbr\u003e \"...this should be a valuable reference for any engineer or statistician working in reliability.\" (Short Book Reviews, Vol. 20, No. 3, December 2000)\u003cbr\u003e This book presents a remarkably broad framework for the analysis of the technical and commercial aspects of product reliability.... Written by two highly respected experts in the field, this practical work provides engineers, operations managers, and applied statisticians with both qualitative and quantitative tools for solving a variety of complex, real-world reliability problems. (Zentralblatt Math, Volume 945, No 20, 2000)\u003cbr\u003e \"...a comprehensive overview...\" (Short Book Reviews, December 2000)\u003cbr\u003e \"...an excellent textbook for an advanced course in biostatistics and also an indispensable reference for biostatisticians and epidemiologists\" (Short Book Reviews, December 2000)\u003cbr\u003e \"...an excellent book, distinguished by excellence of exposition, breadth and comprehensiveness of topical overage, relevance, number and importance of examples, depth of references, and quality of exercises...will become one of the standard references on reliability...so comprehensive...it would provide material for more than a two-semester graduate sequence...will find a warm welcome in the best graduate programs. I strongly recommend it.\" (Technometrics, Vol. 43, No. 4, November 2001)\u003cbr\u003e \"I would recommend this book to practitioners and as a graduate level book.\" (Journal of the American Statistical Association, December 2001) WALLACE R. BLISCHKE, PhD, Statistics, is Professor Emeritus, Marshall School of Business, University of Southern California.\u003cbr\u003e \u003cbr\u003e D. N. PRABHAKAR MURTHY, PhD, is Professor of Engineering and Operations Management at the University of Queensland, St. Lucia, Australia. Bringing together business and engineering to reliability analysis With manufactured products exploding in numbers and complexity, reliability studies play an increasingly critical role throughout a product's entire life cycle-from design to post-sale support. Reliability: Modeling, Prediction, and Optimization presents a remarkably broad framework for the analysis of the technical and commercial aspects of product reliability, integrating concepts and methodologies from such diverse areas as engineering, materials science, statistics, probability, operations research, and management. Written in plain language by two highly respected experts in the field, this practical work provides engineers, operations managers, and applied statisticians with both qualitative and quantitative tools for solving a variety of complex, real-world reliability problems. A wealth of examples and case studies accompanies:\u003cbr\u003e * Comprehensive coverage of assessment, prediction, and improvement at each stage of a product's life cycle\u003cbr\u003e * Clear explanations of modeling and analysis for hardware ranging from a single part to whole systems\u003cbr\u003e * Thorough coverage of test design and statistical analysis of reliability data\u003cbr\u003e * A special chapter on software reliability\u003cbr\u003e * Coverage of effective management of reliability, product support, testing, pricing, and related topics\u003cbr\u003e * Lists of sources for technical information, data, and computer programs\u003cbr\u003e * Hundreds of graphs, charts, and tables, as well as over 500 references","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989938553061,"sku":"NP9780471184508","price":225.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471184508.jpg?v=1761785968","url":"https:\/\/k12savings.com\/es\/products\/reliability-isbn-9780471184508","provider":"K12savings","version":"1.0","type":"link"}