{"product_id":"reliability-engineering-isbn-9781119665922","title":"Reliability Engineering","description":"Get a firm handle on the engineering reliability process with this insightful and complete resource\u003cbr\u003e\u003cbr\u003eNamed one of the \u003cb\u003eBest Industrial Management eBooks of All Time by BookAuthority\u003c\/b\u003e\u003cbr\u003eAs featured on CNN, Forbes and Inc – BookAuthority identifies and rates the best books in the world, based on recommendations by thought leaders and experts\u003cbr\u003e\u003cbr\u003eThe newly and thoroughly revised 3rd Edition of Reliability Engineering delivers a comprehensive and insightful analysis of this crucial field. Accomplished author, professor, and engineer, Elsayed. A. Elsayed includes new examples and end-of-chapter problems to illustrate concepts, new chapters on resilience and the physics of failure, revised chapters on reliability and hazard functions, and more case studies illustrating the approaches and methodologies described within.\u003cbr\u003e\u003cbr\u003eThe book combines analyses of system reliability estimation for time independent and time dependent models with the construction of the likelihood function and its use in estimating the parameters of failure time distribution. It concludes by addressing the physics of failures, mechanical reliability, and system resilience, along with an explanation of how to ensure reliability objectives by providing preventive and scheduled maintenance and warranty policies.\u003cbr\u003e\u003cbr\u003eThis new edition of Reliability Engineering covers a wide range of topics, including:\u003cbr\u003e\u003cbr\u003e \u003cul\u003e \u003cli\u003eReliability and hazard functions, like the Weibull Model, the Exponential Model, the Gamma Model, and the Log-Logistic Model, among others\u003c\/li\u003e \u003cli\u003eSystem reliability evaluations, including parallel-series, series-parallel, and mixed parallel systems\u003c\/li\u003e \u003cli\u003eThe concepts of time- and failure-dependent reliability within both repairable and non-repairable systems\u003c\/li\u003e \u003cli\u003eParametric reliability models, including types of censoring, and the Exponential, Weibull, Lognormal, Gamma, Extreme Value, Half-Logistic, and Rayleigh Distributions\u003c\/li\u003e \u003c\/ul\u003e \u003cbr\u003ePerfect for first-year graduate students in industrial and systems engineering, Reliability Engineering, 3rd Edition also belongs on the bookshelves of practicing professionals in research laboratories and defense industries. The book offers a practical and approachable treatment of a complex area, combining the most crucial foundational knowledge with necessary and advanced topics. \u003cp\u003ePreface xi\u003c\/p\u003e \u003cp\u003ePrelude xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 \u003c\/b\u003e\u003cb\u003eReliability and Hazard Functions 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 Reliability Definition and Estimation 5\u003c\/p\u003e \u003cp\u003e1.3 Hazard Functions 16\u003c\/p\u003e \u003cp\u003e1.4 Multivariate Hazard Rate 57\u003c\/p\u003e \u003cp\u003e1.5 Competing Risk Model and Mixture of Failure Rates 60\u003c\/p\u003e \u003cp\u003e1.6 Discrete Probability Distributions 68\u003c\/p\u003e \u003cp\u003e1.7 Mean Time to Failure 71\u003c\/p\u003e \u003cp\u003e1.8 Mean Residual Life 74\u003c\/p\u003e \u003cp\u003e1.9 Time of First Failure 76\u003c\/p\u003e \u003cp\u003eProblems 79\u003c\/p\u003e \u003cp\u003eReferences 91\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 \u003c\/b\u003e\u003cb\u003eSystem Reliability Evaluation 95\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 95\u003c\/p\u003e \u003cp\u003e2.2 Reliability Block Diagrams 96\u003c\/p\u003e \u003cp\u003e2.3 Series Systems 99\u003c\/p\u003e \u003cp\u003e2.4 Parallel Systems 101\u003c\/p\u003e \u003cp\u003e2.5 Parallel–Series, Series–Parallel, and Mixed-Parallel Systems 103\u003c\/p\u003e \u003cp\u003e2.6 Consecutive-\u003ci\u003ek\u003c\/i\u003e-out-of-\u003ci\u003en:F \u003c\/i\u003eSystem 113\u003c\/p\u003e \u003cp\u003e2.7 Reliability of \u003ci\u003ek\u003c\/i\u003e-out-of-\u003ci\u003en \u003c\/i\u003eSystems 121\u003c\/p\u003e \u003cp\u003e2.8 Reliability of \u003ci\u003ek\u003c\/i\u003e-out-of-\u003ci\u003en \u003c\/i\u003eBalanced Systems 123\u003c\/p\u003e \u003cp\u003e2.9 Complex Reliability Systems 125\u003c\/p\u003e \u003cp\u003e2.10 Special Networks 143\u003c\/p\u003e \u003cp\u003e2.11 Multistate Models 144\u003c\/p\u003e \u003cp\u003e2.12 Redundancy 150\u003c\/p\u003e \u003cp\u003e2.13 Importance Measures of Components 154\u003c\/p\u003e \u003cp\u003e2.14 Weighted Importance Measures of Components 165\u003c\/p\u003e \u003cp\u003eProblems 167\u003c\/p\u003e \u003cp\u003eReferences 182\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 \u003c\/b\u003e\u003cb\u003eTime- and Failure-Dependent Reliability 185\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 185\u003c\/p\u003e \u003cp\u003e3.2 Nonrepairable Systems 185\u003c\/p\u003e \u003cp\u003e3.3 Mean Time to Failure 194\u003c\/p\u003e \u003cp\u003e3.4 Repairable Systems 204\u003c\/p\u003e \u003cp\u003e3.5 Availability 215\u003c\/p\u003e \u003cp\u003e3.6 Dependent Failures 223\u003c\/p\u003e \u003cp\u003e3.7 Redundancy and Standby 228\u003c\/p\u003e \u003cp\u003eProblems 238\u003c\/p\u003e \u003cp\u003eReferences 247\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 \u003c\/b\u003e\u003cb\u003eEstimation Methods of the Parameters 251\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 251\u003c\/p\u003e \u003cp\u003e4.2 Method of Moments 252\u003c\/p\u003e \u003cp\u003e4.3 The Likelihood Function 260\u003c\/p\u003e \u003cp\u003e4.4 Method of Least Squares 278\u003c\/p\u003e \u003cp\u003e4.5 Bayesian Approach 284\u003c\/p\u003e \u003cp\u003e4.6 Bootstrap Method 288\u003c\/p\u003e \u003cp\u003e4.7 Generation of Failure Time Data 290\u003c\/p\u003e \u003cp\u003eProblems 292\u003c\/p\u003e \u003cp\u003eReferences 298\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 \u003c\/b\u003e\u003cb\u003eParametric Reliability Models 301\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 301\u003c\/p\u003e \u003cp\u003e5.2 Approach 1: Historical Data 302\u003c\/p\u003e \u003cp\u003e5.3 Approach 2: Operational Life Testing 303\u003c\/p\u003e \u003cp\u003e5.4 Approach 3: Burn-in Testing 303\u003c\/p\u003e \u003cp\u003e5.5 Approach 4: Accelerated Life Testing 304\u003c\/p\u003e \u003cp\u003e5.6 Types of Censoring 305\u003c\/p\u003e \u003cp\u003e5.7 The Exponential Distribution 308\u003c\/p\u003e \u003cp\u003e5.8 The Rayleigh Distribution 322\u003c\/p\u003e \u003cp\u003e5.9 The Weibull Distribution 331\u003c\/p\u003e \u003cp\u003e5.10 The Lognormal Distribution 343\u003c\/p\u003e \u003cp\u003e5.11 The Gamma Distribution 350\u003c\/p\u003e \u003cp\u003e5.12 The Extreme Value Distribution 357\u003c\/p\u003e \u003cp\u003e5.13 The Half-Logistic Distribution 360\u003c\/p\u003e \u003cp\u003e5.14 The Frechet Distribution 367\u003c\/p\u003e \u003cp\u003e5.15 The Birnbaum–Saunders Distribution 369\u003c\/p\u003e \u003cp\u003e5.16 Linear Models 372\u003c\/p\u003e \u003cp\u003e5.17 Multicensored Data 374\u003c\/p\u003e \u003cp\u003eProblems 378\u003c\/p\u003e \u003cp\u003eReferences 389\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 \u003c\/b\u003e\u003cb\u003eAccelerated Life Testing 393\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 393\u003c\/p\u003e \u003cp\u003e6.2 Types of Reliability Testing 394\u003c\/p\u003e \u003cp\u003e6.3 Accelerated Life Testing 403\u003c\/p\u003e \u003cp\u003e6.4 ALT Models 406\u003c\/p\u003e \u003cp\u003e6.5 Statistics-Based Models: Nonparametric 420\u003c\/p\u003e \u003cp\u003e6.6 Physics-Statistics-Based Models 437\u003c\/p\u003e \u003cp\u003e6.7 Physics-Experimental-Based Models 446\u003c\/p\u003e \u003cp\u003e6.8 Degradation Models 449\u003c\/p\u003e \u003cp\u003e6.9 Statistical Degradation Models 453\u003c\/p\u003e \u003cp\u003e6.10 Accelerated Life Testing Plans 459\u003c\/p\u003e \u003cp\u003eProblems 463\u003c\/p\u003e \u003cp\u003eReferences 476\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 \u003c\/b\u003e\u003cb\u003ePhysics of Failures 481\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 481\u003c\/p\u003e \u003cp\u003e7.2 Fault Tree Analysis 481\u003c\/p\u003e \u003cp\u003e7.3 Failure Modes and Effects Analysis 488\u003c\/p\u003e \u003cp\u003e7.4 Stress–Strength Relationship 490\u003c\/p\u003e \u003cp\u003e7.5 PoF: Failure Time Models 492\u003c\/p\u003e \u003cp\u003e7.6 PoF: Degradation Models 512\u003c\/p\u003e \u003cp\u003eProblems 519\u003c\/p\u003e \u003cp\u003eReferences 524\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 \u003c\/b\u003e\u003cb\u003eSystem Resilience 527\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 527\u003c\/p\u003e \u003cp\u003e8.2 Resilience Overview 528\u003c\/p\u003e \u003cp\u003e8.3 Multi-Hazard 528\u003c\/p\u003e \u003cp\u003e8.4 Resilience Modeling 532\u003c\/p\u003e \u003cp\u003e8.5 Resilience Definitions and Attributes 535\u003c\/p\u003e \u003cp\u003e8.6 Resilience Quantification 536\u003c\/p\u003e \u003cp\u003e8.7 Importance Measures 542\u003c\/p\u003e \u003cp\u003e8.8 Cascading Failures 544\u003c\/p\u003e \u003cp\u003e8.9 Cyber Networks 546\u003c\/p\u003e \u003cp\u003eProblems 557\u003c\/p\u003e \u003cp\u003eReferences 559\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 \u003c\/b\u003e\u003cb\u003eRenewal Processes and Expected Number of Failures 563\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 563\u003c\/p\u003e \u003cp\u003e9.2 Parametric Renewal Function Estimation 564\u003c\/p\u003e \u003cp\u003e9.3 Nonparametric Renewal Function Estimation 578\u003c\/p\u003e \u003cp\u003e9.4 Alternating Renewal Process 588\u003c\/p\u003e \u003cp\u003e9.5 Approximations of \u003ci\u003eM\u003c\/i\u003e(\u003ci\u003et\u003c\/i\u003e) 591\u003c\/p\u003e \u003cp\u003e9.6 Other Types of Renewal Processes 594\u003c\/p\u003e \u003cp\u003e9.7 The Variance of the Number of Renewals 595\u003c\/p\u003e \u003cp\u003e9.8 Confidence Intervals for the Renewal Function 601\u003c\/p\u003e \u003cp\u003e9.9 Remaining Life at Time \u003ci\u003et \u003c\/i\u003e604\u003c\/p\u003e \u003cp\u003e9.10 Poisson Processes 606\u003c\/p\u003e \u003cp\u003e9.11 Laplace Transform and Random Variables 609\u003c\/p\u003e \u003cp\u003eProblems 611\u003c\/p\u003e \u003cp\u003eReferences 619\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 \u003c\/b\u003e\u003cb\u003eMaintenance and Inspection 621\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 621\u003c\/p\u003e \u003cp\u003e10.2 Preventive Maintenance and Replacement Models: Cost Minimization 622\u003c\/p\u003e \u003cp\u003e10.3 Preventive Maintenance and Replacement Models: Downtime Minimization 631\u003c\/p\u003e \u003cp\u003e10.4 Minimal Repair Models 634\u003c\/p\u003e \u003cp\u003e10.5 Optimum Replacement Intervals for Systems Subject to Shocks 639\u003c\/p\u003e \u003cp\u003e10.6 Preventive Maintenance and Number of Spares 642\u003c\/p\u003e \u003cp\u003e10.7 Group Maintenance 649\u003c\/p\u003e \u003cp\u003e10.8 Periodic Inspection 653\u003c\/p\u003e \u003cp\u003e10.9 Condition-Based Maintenance 663\u003c\/p\u003e \u003cp\u003e10.10 On-Line Surveillance and Monitoring 665\u003c\/p\u003e \u003cp\u003eProblems 669\u003c\/p\u003e \u003cp\u003eReferences 676\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 \u003c\/b\u003e\u003cb\u003eWarranty Models 679\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 679\u003c\/p\u003e \u003cp\u003e11.2 Warranty Models for Nonrepairable Products 681\u003c\/p\u003e \u003cp\u003e11.3 Warranty Models for Repairable Products 701\u003c\/p\u003e \u003cp\u003e11.4 Two-Dimensional Warranty 716\u003c\/p\u003e \u003cp\u003e11.5 Warranty Claims 718\u003c\/p\u003e \u003cp\u003eProblems 725\u003c\/p\u003e \u003cp\u003eReferences 731\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 \u003c\/b\u003e\u003cb\u003eCase Studies 733\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Case 1: A Crane Spreader Subsystem 733\u003c\/p\u003e \u003cp\u003e12.2 Case 2: Design of a Production Line 739\u003c\/p\u003e \u003cp\u003e12.3 Case 3: An Explosive Detection System 746\u003c\/p\u003e \u003cp\u003e12.4 Case 4: Reliability of Furnace Tubes 752\u003c\/p\u003e \u003cp\u003e12.5 Case 5: Reliability of Smart Cards 757\u003c\/p\u003e \u003cp\u003e12.6 Case 6: Life Distribution of Survivors of Qualification and Certification 760\u003c\/p\u003e \u003cp\u003e12.7 Case 7: Reliability Modeling of Telecommunication Networks for the Air Traffic Control System 767\u003c\/p\u003e \u003cp\u003e12.8 Case 8: System Design Using Reliability Objectives 776\u003c\/p\u003e \u003cp\u003e12.9 Case 9: Reliability Modeling of Hydraulic Fracture Pumps 786\u003c\/p\u003e \u003cp\u003e12.10 Case 10: Availability of Medical Information Technology System 791\u003c\/p\u003e \u003cp\u003e12.11 Case 11: Producer and Consumer Risk in System of Systems 797\u003c\/p\u003e \u003cp\u003eReferences 804\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendices\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAppendix A Gamma Table 805\u003c\/p\u003e \u003cp\u003eAppendix B Computer Program To Calculate the Reliability of a Consecutive-k-Out-of-n:F System 811\u003c\/p\u003e \u003cp\u003eAppendix C Optimum Arrangement of Components In Consecutive-2-Out-of-N:F Systems 813\u003c\/p\u003e \u003cp\u003eAppendix D Computer Program For Solving the Time-Dependent Equations 821\u003c\/p\u003e \u003cp\u003eAppendix E The Newton–Raphson Method 823\u003c\/p\u003e \u003cp\u003eAppendix F Coefficients of b\u003csub\u003ei\u003c\/sub\u003e’s For i = 1, …, n 829\u003c\/p\u003e \u003cp\u003eAppendix G Variance of θ\u003csup\u003e∗\u003c\/sup\u003e\u003csub\u003e2\u003c\/sub\u003e’s In Terms of θ\u003csup\u003e2\u003c\/sup\u003e\u003csub\u003e2\u003c\/sub\u003e\/n and K\u003csub\u003e3\u003c\/sub\u003e\/K\u003csup\u003e∗\u003c\/sup\u003e\u003csub\u003e2\u003c\/sub\u003e 843\u003c\/p\u003e \u003cp\u003eAppendix H Computer Listing of the Newton–Raphson Method 849\u003c\/p\u003e \u003cp\u003eAppendix I Coefficients (a\u003csub\u003ei\u003c\/sub\u003e and b\u003csub\u003ei\u003c\/sub\u003e) of the Best Estimates of the Mean (μ) and Standard Deviation (σ) In Censored Samples Up To n = 20 From a Normal Population 851\u003c\/p\u003e \u003cp\u003eAppendix J Baker’s Algorithm 865\u003c\/p\u003e \u003cp\u003eAppendix K Standard Normal Distribution 869\u003c\/p\u003e \u003cp\u003eAppendix L Critical Values of χ\u003csup\u003e2\u003c\/sup\u003e 875\u003c\/p\u003e \u003cp\u003eAppendix M Solutions of Selected Problems 879\u003c\/p\u003e \u003cp\u003eAuthor Index 887\u003c\/p\u003e \u003cp\u003eSubject Index 895\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eELSAYED. A. ELSAYED, P\u003csmall\u003eH\u003c\/small\u003eD\u003c\/b\u003e is a Distinguished Professor in the Department of Industrial Engineering at Rutgers University. He is Director of the NSF\/Industry\/University Cooperative Research Center for Quality and Reliability Engineering, Rutgers-Arizona State University. His research interests include the areas of quality and reliability engineering, production planning, and control and manufacturing processes and engineering.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eGet a firm handle on the engineering reliability process with this insightful and complete resource\u003c\/b\u003e \t \u003c\/p\u003e\u003cp\u003eThe newly and thoroughly revised 3rd Edition of \u003ci\u003eReliability Engineering\u003c\/i\u003e delivers a comprehensive and insightful analysis of this crucial field. Accomplished author, professor, and engineer, Elsayed. A. Elsayed includes new examples and end-of-chapter problems to illustrate concepts, new chapters on resilience and the physics of failure, revised chapters on reliability and hazard functions, and more case studies illustrating the approaches and methodologies described within. \u003c\/p\u003e\u003cp\u003eThe book combines analyses of system reliability estimation for time independent and time dependent models with the construction of the likelihood function and its use in estimating the parameters of failure time distribution. It concludes by addressing the physics of failures, mechanical reliability, and system resilience, along with an explanation of how to ensure reliability objectives by providing preventive and scheduled maintenance and warranty policies. \u003c\/p\u003e\u003cp\u003eThis new edition of \u003ci\u003eReliability Engineering\u003c\/i\u003e covers a wide range of topics, including: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eReliability and hazard functions, like the Weibull Model, the Exponential Model, the Gamma Model, and the Log-Logistic Model, among others\u003c\/li\u003e \u003cli\u003eSystem reliability evaluations, including parallel-series, series-parallel, and mixed parallel systems\u003c\/li\u003e \u003cli\u003eThe concepts of time- and failure-dependent reliability within both repairable and non-repairable systems\u003c\/li\u003e \u003cli\u003eParametric reliability models, including types of censoring, and the Exponential, Weibull, Lognormal, Gamma, Extreme Value, Half-Logistic, and Rayleigh Distributions\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for first-year graduate students in industrial and systems engineering, \u003ci\u003eReliability Engineering, 3rd Edition\u003c\/i\u003e also belongs on the bookshelves of practicing professionals in research laboratories and defense industries. The book offers a practical and approachable treatment of a complex area, combining the most crucial foundational knowledge with necessary and advanced topics.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989938159845,"sku":"NP9781119665922","price":171.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119665922.jpg?v=1761785967","url":"https:\/\/k12savings.com\/es\/products\/reliability-engineering-isbn-9781119665922","provider":"K12savings","version":"1.0","type":"link"}