Affordable Reliability Engineering: Life-Cycle Cost Analysis for Sustainability & Logistical Support

DescriptionHow Can Reliability Analysis Impact Your Company’s Bottom Line?While reliability investigations can be expensive, they can also add value to a product that far exceeds its cost. Affordable Reliability Engineering: Life-Cycle Cost Analysis for Sustainability & Logistical Support shows readers how to achieve the best cost for design development testing and evaluation and compare options for minimizing costs while keeping reliability above specifications. The text is based on the premise that all system sustainment costs result from part failure. It examines part failure in the design and sustainment of fielded parts and outlines a design criticality analysis procedure that reflects system design and sustainment.Achieve the Best Cost for Life-Cycle SustainmentProviding a framework for managers and engineers to develop and implement a reliability program for their organizations, the authors present the practicing professional with the tools needed to manage a system at a high reliability at the best cost. They introduce analytical methods that provide the methodology for integrating part reliability, failure, maintainability, and logistic math models. In addition, they include examples on how to run reliability simulations, highlight tools that are commercially available for such analysis, and explain the process required to ensure a design will meet specifications and minimize costs in the process.This text:Demonstrates how to use information gathered from reliability investigationsProvides engineers and managers with an understanding of a reliability engineering program so that they can perform reliability analysesSeeks to resolve uncertainty and establish the value of reliability engineeringAffordable Reliability Engineering: Life-Cycle Cost Analysis for Sustainability & Logistical Support focuses on reliability-centered maintenance and is an ideal resource for reliability engineers and managers. This text enables reliability professionals to determine the lowest life-cycle costs for part selection, design configuration options, and the implementation of maintenance practices, as well as spare parts strategies, and logistical resources.Table of ContentsScope of Reliability-Based Life-Cycle Economical AnalysisBackgroundReliability Engineering ApproachesReliability Engineering EconomicsReliability Engineering Analysis Impacts on Life-Cycle CostsReliability Analysis for Part DesignFailureCriticality Items List and DatabaseProposed Criticality Analysis ProcedureReliability Block DiagramQualitative Part Failure AnalysisQuantitative Failure AnalysisAssembly Reliability FunctionsFitting Reliability Data to Reliability Math ModelsExponential Reliability Math ModelsWeibull Reliability Math ModelsQualitative Maintainability AnalysisQuantitative Maintainability AnalysisSystem Logistics Downtime Math ModelSummary of Reliability Math ModelsAvailabilityApplication of Reliability Math ModelsReliability Analysis for System SustainmentBaseline Reliability AnalysisFailure Report, Analysis, Corrective Action System—FRACASPrerepair Logistics DowntimePostrepair Logistics DowntimeQuantitative Reliability AnalysisExponential Reliability Math ModelsWeibull Reliability Math ModelsQuantitative Maintainability AnalysisMean Maintenance TimeMean DowntimeSystem Logistics Downtime Math ModelSummary of Reliability Math ModelsAvailabilityApplication of Reliability Math ModelsEngineering Economic AnalysisEngineering Economic Analysis InformationFundamental Economic ConceptsAmounts versus Equivalent ValueCost EstimationClassifications of Sources and Uses of Estimated CashCash Flow TimelineEquivalent ValuesExample 1: Project Cash Flow Timeline: m =Example 2: Project Cash Flow Timeline: m =Example 3: Project Cash Flow Timelines for Three Projects: m =Example 4: Project Cash Flow Timelines for Three Projects: m =Application to Reliability Based Life-Cycle Economic AnalysisReliability-Based Logistical Economic AnalysisFailure Math ModelRepair Math ModelLogistics Downtime Math ModelImpact of Preventive Maintenance on Logistics DowntimeSpecial Cause Variability in Logistics DowntimeCost Objective FunctionSpare Parts Acquisition StrategiesSpecialty ToolsCash Flow TimelineLife-Cycle Economic AnalysisSelectionCautionary NotePreventive MaintenanceLife-Cycle Simulation ApproachSystem Reliability AnalysisSpare Parts StrategyStandby Design ConfigurationReliability-Centered MaintenanceChoosing the Correct Maintenance PlanRCM ChallengesRCM BenefitsReliability DatabaseSegment 1: Criticality AnalysisSegment 2: Qualitative Failure AnalysisSegment 3: Quantitative Failure AnalysisSegment 4: Quantitative Repair AnalysisSegment 5: Pre-Repair Logistics Downtime Quantitative AnalysisSegment 6: Post-Repair Logistics Downtime Quantitative AnalysisSegment 7: Spare Part StrategyReliability Simulation and AnalysisReliability SimulationsAssembly and System SimulationsSummaryA: Reliability Failure Math Models and Reliability FunctionsExponential Reliability Math Modeling ApproachWeibull Reliability Math Modeling ApproachB: Maintainability Math Models and Maintainability FunctionsTime-to-Repair Math Model, Log-Normal Distribution ApproachTime-to-Repair Math Model, Weibull Distribution ApproachComparison between the Log-Normal and Weibull ApproachLogistics Downtime FunctionsEngineering Economics FunctionsCost Estimation: Present AmountCost Estimation: Future AmountEquivalent Present Value: Future AmountCost Estimation: Uniform Recurring AmountsRecurring Amounts with Linear GradientRecurring Amounts with Geometric GradientCapital RecoverySinking FundNet Present Value and Equivalent Uniform Recurring AmountLess Common Engineering Economics FunctionsReferencesAuthor(s) DescriptionBill Wessels has over 45 years of experience in system design and sustainability. He currently works at the University of Alabama in Huntsville, where he cofounded the Reliability and Failure Analysis Laboratory and performs basic and applied research in design-for-reliability, reliability-based maintainability, and reliability-based life-cycle economic analysis. Wessels has a BS in engineering from the United States Military Academy at West Point, an MBA in decision sciences from the University of Alabama in Tuscaloosa, and a PhD in systems engineering from the University of Alabama in Huntsville. He is a registered professional mechanical engineer and a certified reliability engineer.Daniel S. Sillivant is a researcher at the University of Alabama in Huntsville performing basic and applied research and investigations in reliability life-cycle modeling for aviation and sensors systems. He is published in peer-reviewed proceedings for the International Mechanical Engineering Congress and Exposition; Reliability, Availability, Maintainability Workshop; and Industry, Engineering, and Management Systems. Sillivant has a bachelor’s degree in chemical engineering and a master’s degree in industrial/reliability engineering from UAH. He has begun his dissertation research in reliability based life-cycle economic modeling for implementation of reliability-centered maintenance. In addition, he holds certificates in Lean Concepts Training and Six Sigma Green Belt.