Maintenance Excellence: Optimizing Equipment Life Cycle Decisions, Vol. 135
Considering maintenance from a proactive, rather than reactive, perspective, Maintenance Excellence details the strategies, tools, and solutions for maximizing the productivity of physical assets—focusing on profitability potential. The editors address contemporary concerns, key terms, data requirements, critical methodologies, and essential mathematical needs. They present maintenance in a business context, review planning, measurement, feedback, and techniques related to cost, efficiency,...
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Considering maintenance from a proactive, rather than reactive, perspective, Maintenance Excellence details the strategies, tools, and solutions for maximizing the productivity of physical assets—focusing on profitability potential. The editors address contemporary concerns, key terms, data requirements, critical methodologies, and essential mathematical needs. They present maintenance in a business context, review planning, measurement, feedback, and techniques related to cost, efficiency, and results, and summarize applications of tools and software from statistics and neural networks to cost-optimized models. Booknews Thirteen chapters written by associates of PricewaterhouseCooper's global practice in Physical Asset Management present strategies for maximizing the productivity of physical assets, focusing on profitability potential. A sampling of topics includes: managing equipment reliability, computerized maintenance management and enterprise asset management systems, assessing risks, managing to international standards, and using statistics and asset life cost in maintenance decision making. The strengths and weaknesses of traditional Reliability-Centered Maintenance also are discussed. Appendices (24 in number) provide additional information on such topics as fuzzy logic, neural nets, the economic-life model used in PERDEC, confidence intervals, and the three-parameter Weibull function. Annotation c. Book News, Inc., Portland, OR (booknews.com)
PrefaceAcknowledgmentsContributors1Introduction12Maintenance Management Methodologies113Measurement in Maintenance Management374Data Acquisition955Materials Management Optimization1256Assessing and Managing Risk1477Reliability by Design: Reliability-Centered Maintenance1838Reliability by Operator: Total Productive Maintenance2219Reliability Management and Maintenance Optimization: Basic Statistics and Economics23910Maintenance Optimization Models26911Optimizing Maintenance and Replacement Decisions28912Optimizing Condition-Based Maintenance32313Achieving Maintenance Excellence367App. 1Mean Time to Failure379App. 2Median Ranks381App. 3Censored Data385App. 4The Three-Parameter Weibull Function387App. 5Confidence Intervals391App. 6Estimating (Fitting) the Distribution395App. 7Kolmogorov-Smirnov Goodness-of-Fit Test397App. 8Present Value401App. 9Cost of Capital Required for Economic-Life Calculations407App. 10Optimal Number of Workshop Machines to Meet a Fluctuating Workload413App. 11Optimal Size of a Maintenance Workforce to Meet a Fluctuating Workload, Taking into Account Subcontracting Opportunities415App. 12Fuzzy Logic421App. 13Neural Nets423App. 14Optimal Interval Between Preventive Replacements of Equipment Subject to Breakdown429App. 15Optimal Preventive Replacement Age of Equipment Subject to Breakdown433App. 16Optimal Preventive Replacement Age of Equipment Subject to Breakdown, Taking into Account Time Required to Effect Failure and Preventive Replacements437App. 17Optimal Replacement Interval for Capital Equipment: Minimization of Total Cost441App. 18The Economic-Life Model Used in PERDEC445App. 19Economic Life of Passenger Buses447App. 20Optimal Replacement Age of an Asset, Taking into Account Tax Considerations455App. 21Optimal Replacement Policy for Capital Equipment, Taking into Account Technological Improvement - Infinite Planning Horizon457App. 22Optimal Replacement Policy for Capital Equipment, Taking into Account Technological Improvement - Finite Planning Horizon461App. 23Optimal Inspection Frequency: Minimization of Downtime465App. 24Maintenance Strategic Assessment (MSA) Questionnaire467Index479
\ BooknewsThirteen chapters written by associates of PricewaterhouseCooper's global practice in Physical Asset Management present strategies for maximizing the productivity of physical assets, focusing on profitability potential. A sampling of topics includes: managing equipment reliability, computerized maintenance management and enterprise asset management systems, assessing risks, managing to international standards, and using statistics and asset life cost in maintenance decision making. The strengths and weaknesses of traditional Reliability-Centered Maintenance also are discussed. Appendices (24 in number) provide additional information on such topics as fuzzy logic, neural nets, the economic-life model used in PERDEC, confidence intervals, and the three-parameter Weibull function. Annotation c. Book News, Inc., Portland, OR (booknews.com)\ \
