Maintenance, Replacement, and Reliability : Theory and Applications, Second Edition

"Completely revised and updated, this second edition of a bestseller provides the tools needed for making data-driven physical asset management decisions. The book is soldly based on the results of real-world research in physical asset management, including applications of the models presented in the text. Software that implements many of the procedures and models featured in this textbook has been developed and can be downloaded, along with PowerPoint Slides and a test bank with over 100 examination questions, from the CRC website"-- Read more... Abstract: "Completely revised and updated, this second edition of a bestseller provides the tools needed for making data-driven physical asset management decisions. The book is soldly based on the results of real-world research in physical asset management, including applications of the models presented in the text. Software that implements many of the procedures and models featured in this textbook has been developed and can be downloaded, along with PowerPoint Slides and a test bank with over 100 examination questions, from the CRC website" Content: Machine generated contents note: 1.1.From Maintenance Management to Physical Asset Management -- 1.2.Challenges of PAM -- 1.2.1.Emerging Trends of Operation Strategies -- 1.2.2.Toughening Societal Expectations -- 1.2.3.Technological Changes -- 1.2.4.Increased Emphasis on Sustainability -- 1.3.Improving PAM -- 1.3.1.Maintenance Excellence -- 1.3.1.1.Strategic -- 1.3.1.2.Tactical -- 1.3.1.3.Continuous Improvements -- 1.3.2.Quantum Leaps -- 1.4.PAS 55-A Framework for Optimized Management of Physical Assets -- 1.5.Reliability through the Operator: TPM -- 1.6.Reliability by Design: RCM -- 1.7.Optimizing Maintenance and Replacement Decisions -- 1.8.The Quantitative Approach -- 1.8.1.Setting Objectives -- 1.8.2.Models -- 1.8.3.Obtaining Solutions from Models -- 1.8.4.Maintenance Control and Mathematical Models -- 1.9.Data Requirements for Modeling -- References -- 2.1.Introduction -- 2.2.Optimal Replacement Times for Equipment Whose Operating Cost Increases with Use -- Contents note continued: 2.2.1.Statement of the Problem -- 2.2.2.Construction of the Model -- 2.2.3.Numerical Example -- 2.2.4.Further Comments -- 2.2.5.Applications -- 2.2.5.1.Replacing the Air Filter in an Automobile -- 2.2.5.2.Overhauling a Boiler Plant -- 2.3.Stochastic Preventive Replacement: Some Introductory Comments -- 2.4.Optimal Preventive Replacement Interval of Items Subject to Breakdown (Also Known as the Group or Block Policy) -- 2.4.1.Statement of the Problem -- 2.4.2.Construction of the Model -- 2.4.3.Determination of H(t) -- 2.4.3.1.Renewal Theory Approach -- 2.4.3.2.Discrete Approach -- 2.4.4.Numerical Example -- 2.4.5.Further Comments -- 2.4.6.An Application: Optimal Replacement Interval for a Left-Hand Steering Clutch -- 2.5.Optimal Preventive Replacement Age of an Item Subject to Breakdown -- 2.5.1.Statement of the Problem -- 2.5.2.Construction of the Model -- 2.5.3.Numerical Example -- 2.5.4.Further Comments -- Contents note continued: 2.5.5.An Application: Optimal Bearing Replacement Age -- 2.6.Optimal Preventive Replacement Age of an Item Subject to Breakdown, Taking Account of the Times Required to Carry Out Failure and Preventive Replacements -- 2.6.1.Statement of the Problem -- 2.6.2.Construction of the Model -- 2.6.3.Numerical Example -- 2.7.Optimal Preventive Replacement Interval or Age of an Item Subject to Breakdown: Minimization of Downtime -- 2.7.1.Statement of the Problem -- 2.7.2.Construction of the Models -- 2.7.2.1.Model 1: Determination of Optimal Preventive Replacement Interval -- 2.7.2.2.Model 2: Determination of Optimal Preventive Replacement Age -- 2.7.3.Numerical Examples -- 2.7.3.1.Model 1: Replacement Interval -- 2.7.3.2.Model 2: Replacement Age -- 2.7.4.Further Comments -- 2.7.5.Applications -- 2.7.5.1.Replacement of Sugar Refinery Cloths -- 2.7.5.2.Replacement of Sugar Feeds in a Sugar Refinery -- Contents note continued: 2.8.Group Replacement: Optimal Interval between Group Replacements of Items Subject to Failure The Lamp Replacement Problem -- 2.8.1.Statement of the Problem -- 2.8.2.Construction of the Model -- 2.8.3.Numerical Example -- 2.8.4.Further Comments -- 2.8.5.An Application: Optimal Replacement Interval for a Group of 40 Valves in a Compressor -- 2.9.Further Replacement Models -- 2.9.1.Multistage Replacement -- 2.9.2.Optional Policies -- 2.9.3.Repairable Systems -- 2.10.Case Study on Project Prioritization, Trend Tests, Weibull Analysis, and Optimizing Component Replacement Intervals -- 2.10.1.Introduction -- 2.10.2.Optimal Preventive Replacement Age for Major Components -- 2.10.3.Optimal Preventive Replacement Age for Item Parts (Minor Components) -- 2.10.4.Conclusion for Item Parts -- 2.11.Spare Parts Provisioning: Preventive Replacement Spares -- 2.11.1.Introduction -- 2.11.2.Construction of the Model -- 2.11.2.1.The Constant Interval Model -- Contents note continued: 2.11.2.2.The Age-Based Preventive Replacement Model -- 2.11.3.Numerical Example -- 2.11.3.1.Constant-Interval Policy -- 2.11.3.2.Age-Based Policy -- 2.11.4.Further Comments -- 2.11.5.An Application: Cylinder Head Replacement-Constant-Interval Policy -- 2.12.Spare Parts Provisioning: Insurance Spares -- 2.12.1.Introduction -- 2.12.2.Classes of Components -- 2.12.2.1.Nonrepairable Components -- 2.12.2.2.Normal Distribution Approach -- 2.12.2.3.Poisson Distribution Approach -- 2.12.2.4.Repairable Components -- 2.12.3.Cost Model -- 2.12.4.Further Comments -- 2.12.5.An Application: Electric Motors -- 2.13.Solving the Constant-Interval and Age-Based Models Graphically: Use of Glasser's Graphs -- 2.13.1.Introduction -- 2.13.2.Using Glasser's Graphs -- 2.13.3.Numerical Example -- 2.13.4.Calculation of the Savings -- 2.14.Solving the Constant-Interval and Age-Based Models Using OREST Software -- 2.14.1.Introduction -- 2.14.2.Using OREST -- Contents note continued: 2.14.3.Further Comments -- Problems -- References -- 3.1.Introduction -- 3.2.Optimal Inspection Frequency: Maximization of Profit -- 3.2.1.Statement of the Problem -- 3.2.2.Construction of the Model -- 3.2.3.Numerical Example -- 3.2.4.Further Comments -- 3.3.Optimal Inspection Frequency: Minimization of Downtime -- 3.3.1.Statement of the Problem -- 3.3.2.Construction of the Model -- 3.3.3.Numerical Example -- 3.3.4.Further Comments -- 3.3.5.An Application: Optimal Vehicle Fleet Inspection Schedule -- 3.4.Optimal Inspection Interval to Maximize the Availability of Equipment Used in Emergency Conditions, Such as a Protective Device -- 3.4.1.Statement of the Problem -- 3.4.2.Construction of the Model -- 3.4.3.Numerical Example -- 3.4.4.Further Comments -- 3.4.5.Exponential Failure Distribution and Negligible Time Required to Perform Inspections and Repairs/Replacements -- 3.4.6.An Application: Pressure Safety Valves in an Oil and Gas Field -- Contents note continued: 3.5.Optimizing CBM Decisions -- 3.5.1.Introduction -- 3.5.2.The Proportional Hazards Model -- 3.5.3.Blending Hazard and Economics: Optimizing the CBM Decision -- 3.5.4.Applications -- 3.5.4.1.Food Processing: Use of Vibration Monitoring -- 3.5.4.2.Coal Mining: Use of Oil Analysis -- 3.5.4.3.Transportation: Use of Visual Inspection -- 3.5.5.Further Comments -- 3.5.6.Software for CBM Optimization -- 3.5.6.1.Event Data -- Problems -- References -- 4.1.Introduction -- 4.2.Optimal Replacement Interval for Capital Equipment: Minimization of Total Cost -- 4.2.1.Statement of the Problem -- 4.2.2.Construction of the Model -- 4.2.3.Numerical Example -- 4.2.4.Further Comments -- 4.2.5.Applications -- 4.2.5.1.Mobile Equipment: Vehicle Fleet Replacement -- 4.2.5.2.Fixed Equipment: Internal Combustion Engine -- 4.3.Optimal Replacement Interval for Capital Equipment: Maximization of Discounted Benefits -- 4.3.1.Statement of the Problem -- Contents note continued: 4.3.2.Construction of the Model -- 4.3.2.1.First Cycle of Operation -- 4.3.2.2.Second Cycle of Operation -- 4.3.2.3.Third Cycle of Operation -- 4.3.2.4.nth Cycle of Operation -- 4.3.3.Numerical Example -- 4.3.4.Further Comments -- 4.3.5.Proof that Optimization over a Long Period Is Not Equivalent to Optimization per Unit Time When Discounting Is Included -- 4.4.Optimal Replacement Interval for Capital Equipment Whose Planned Utilization Pattern Is Variable: Minimization of Total Cost -- 4.4.1.Statement of the Problem -- 4.4.2.Construction of the Model -- 4.4.2.1.Consider a Replacement Cycle of n Years -- 4.4.3.Numerical Example -- 4.4.4.Further Comments -- 4.4.5.An Application: Establishing the Economic Life of a Fleet of Buses -- 4.5.Optimal Replacement Policy for Capital Equipment Taking into Account Technological Improvement: Finite Planning Horizon -- 4.5.1.Statement of the Problem -- 4.5.2.Construction of the Model -- 4.5.3.Numerical Example -- Contents note continued: 4.5.4.Further Comments -- 4.5.5.An Application: Replacing Current Mining Equipment with a Technologically Improved Version -- 4.6.Optimal Replacement Policy for Capital Equipment Taking into Account Technological Improvement: Infinite Planning Horizon -- 4.6.1.Statement of the Problem -- 4.6.2.Construction of the Model -- 4.6.3.Numerical Example -- 4.6.4.Further Comments -- 4.6.5.An Application: Repair versus Replace of a Front-End Loader -- 4.7.Software for Economic Life Optimization -- 4.7.1.Introduction -- 4.7.2.Using PERDEC and AGE/CON -- 4.7.3.Further Comments -- Problems -- References -- 5.1.Introduction -- 5.1.1.Facilities for Maintenance within an Organization -- 5.1.2.The Combined Use of the Facilities within an Organization and Outside Resources -- 5.2.Queuing Theory Preliminaries -- 5.2.1.Queuing Systems -- 5.2.2.Queuing Theory Results -- 5.2.2.1.Single-Channel Queuing System -- 5.2.2.2.Multichannel Queuing Systems -- Contents note continued: 5.3.Optimal Number of Workshop Machines to Meet a Fluctuating Workload -- 5.3.1.Statement of the Problem -- 5.3.2.Construction of the Model -- 5.3.3.Numerical Example -- 5.3.4.Further Comments -- 5.3.5.Applications -- 5.3.5.1.Optimizing the Backlog -- 5.3.5.2.Crew Size Optimization -- 5.4.Optimal Mix of Two Classes of Similar Equipment (Such as Medium/Large Lathes) to Meet a Fluctuating Workload -- 5.4.1.Statement of the Problem -- 5.4.2.Construction of the Model -- 5.4.2.1.Logic Flowchart -- 5.4.2.2.Obtaining Necessary Information and Constructing the Model -- 5.4.3.Numerical Example -- 5.4.4.Further Comments -- 5.4.5.Applications -- 5.4.5.1.Establishing the Optimal Number of Lathes in a Steel Mill -- 5.4.5.2.Balancing Maintenance Cost and Reliability in Thermal Generating Station -- 5.5.Rightsizing a Fleet of Equipment: An Application -- 5.5.1.An Application: Fleet Size in an Open-Pit Mine -- Contents note continued: 5.6.Optimal Size of a Maintenance Workforce to Meet a Fluctuating Workload, Taking Account of Subcontracting Opportunities -- 5.6.1.Statement of the Problem -- 5.6.2.Construction of the Model -- 5.6.3.Numerical Example -- 5.6.4.Further Comments -- 5.6.5.An Example: Number of Vehicles to Have in a Fleet (Such as a Courier Fleet) -- 5.7.The Lease or Buy Decision -- 5.7.1.Statement of the Problem -- 5.7.2.Solution of the Problem -- 5.7.2.1.Use of Retained Earnings -- 5.7.2.2.Use of Borrowed Funds -- 5.7.2.3.Leasing -- 5.7.2.4.Conclusion -- 5.7.3.Further Comments -- Problems -- References. IntroductionFrom Maintenance Management to Physical Asset ManagementChallenges of PAMImproving PAMPAS 55-A Framework for Optimized Management of Physical AssetsReliability through the Operator: TPM Reliability by Design: RCMOptimizing Maintenance and Replacement DecisionsThe Quantitative ApproachData Requirements for ModelingReferencesComponent Replacement DecisionsIntroductionOptimal Replacement Times for Equipment Whose Operating Cost Increases with UseStochastic Preventive Replacement: Some Introductory CommentsOptimal Preventive Replacement Interval of Items Subject to Breakdown (Also Known as the Group or Block Policy) Optimal Preventive Replacement Age of an Item Subject to BreakdownOptimal Preventive Replacement Age of an Item Subject to Breakdown, Taking Account of the Times Required to Carry Out Failure and Preventive ReplacementsOptimal Preventive Replacement Interval or Age of an Item Subject to Breakdown: Minimization of DowntimeGroup Replacement: Optimal Interval between Group Replacements of Items Subject to Failure: the Lamp Replacement ProblemFurther Replacement ModelsCase Study on Project Prioritization, Trend Tests, Weibull Analysis, and Optimizing Component Replacement IntervalsSpare Parts Provisioning: Preventive Replacement SparesSpare Parts Provisioning: Insurance SparesSolving the Constant-Interval and Age-Based Models Graphically: Use of Glasser's GraphsSolving the Constant-Interval and Age-Based Models Using OREST SoftwareReferencesInspection DecisionsIntroductionOptimal Inspection Frequency: Maximization of ProfitOptimal Inspection Frequency: Minimization of DowntimeOptimal Inspection Interval to Maximize the Availability of Equipment Used in Emergency Conditions, Such as a Protective DeviceOptimizing CBM DecisionsReferencesCapital Equipment Replacement DecisionsIntroductionOptimal Replacement Interval for Capital

wigfield Is A Small Bucolic Hideaway, Situated In Front Of A Massive Dam Which Is About To Be Torn Down By The State Government To Restore The Salmon Run. Wigfield's Only Hope Lies In The Self-righteous, Self-involved Journalist Russell Hokes, Who Arrives Hoping To Capture The Quiet Dignity Of The Disappearing American Small Town. However, Wigfield Is Nether Quiet Nor Dignified. As The Date Of Destruction Draws Nearer, Hokes Casts About Desperate To Find Something About Wigfield Worth Documenting. Wigfield Is A Razor-sharp Satire By Three Major Talents.

publishers Weekly

a Bizarrely Entertaining Piece Of Social Satire.

A completely revised and updated edition of a bestseller, Maintenance, Replacement, and Reliability: Theory and Applications, Second Edition supplies the tools needed for making data-driven physical asset management decisions. The well-received first edition quickly became a mainstay for professors, students, and professionals, with its clear prese