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 presentation of concepts immediately applicable to real-life situations. However, research is ongoing and relentless—in only a few short years, much has changed.
See What’s New in the Second Edition:
Firmly based on the results of real-world research in physical asset management, the book focuses on data-driven tools for asset management decisions. It provides a solid theoretical foundation for various tools (mathematical models) that, in turn, can be used to optimize a variety of key maintenance/replacement/reliability decisions. It presents cases that illustrate the application of these tools in a variety of settings, such as food processing, petrochemical, steel and pharmaceutical industries, as well as the military, mining, and transportation (land and air) sectors.
Based on the authors’ experience, the second edition maintains the format that made the previous edition so popular. It covers theories and methodologies grounded in the real world. Simply stated, no other book available addresses the range of methodologies associated with, or focusing on, tools to ensure that asset management decisions are optimized over the product’s life cycle. And then presents them in an easily digestable and immediately applicable way.
"… an excellent book that provides an extensive coverage of managerial issues and quantitative methods that will help in the decision making process. … The authors have extensive experience in maintenance engineering and management. This book is a good summary of the state of the art in this important field. I believe that it is a very useful book at undergraduate or postgraduate level, for students in industrial and mechanical/manufacturing engineering. It should also serve as a good reference book for others interested in or working with related problems. I will certainly recommend it to my students."
—Professor Min Xie, City University of Hong Kong
"Andrew and Albert’s book focuses on "when" to do activities such as component and capital replacements, and inspections and what resources are required. Understanding how to do this assists practitioners in improving the timing and resourcing of their decisions with consequent cost and risk benefits. It is invaluable in the way it provides real examples of these decisions in an accessible way for the maintenance and reliability practitioner."
—Professor Melinda Hodkiewicz, University of Western Australia
"The authors approach the subject in a logical and systematic way which reflects their many years of teaching and research background directly related to the topics covered in the book. … They provide easy to understand engineering explanations to decision models and mathematical expressions facilitating easy applications of these models in practical engineering works."
—Uday Kumar, PhD, Luleå University of Technology, Sweden
"Having a good quantitative methods book is simple; having a good engineering economics is also easy; having a good reliability book is not so difficult; having a book integrating various quantitative concepts to resolve real asset management problems is unique: Dr. Jardine’s Maintenance, Replacement, and Reliability 2nd ed."
—Prof. Michel Rioux, P.Eng., Ph.D., Montreal, Quebec, Canada
"… addresses the key reliability and maintenance decision making issues in effective physical asset management. With a comprehensive and integrated approach this text makes my role as the educator in asset and reliability management a lot easier."
—Professor Chanan S Syan, The University of the West Indies, St. Augustine, Trinidad, West Indies
From Maintenance Management to Physical Asset Management
Challenges of PAM
PAS 55—A Framework for Optimized Management of Physical Assets
Reliability through the Operator: TPM
Reliability by Design: RCM
Optimizing Maintenance and Replacement Decisions
The Quantitative Approach
Data Requirements for Modeling
Component Replacement Decisions
Optimal Replacement Times for Equipment Whose Operating Cost Increases with Use
Stochastic Preventive Replacement: Some Introductory Comments
Optimal 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 Breakdown
Optimal Preventive Replacement Age of an Item Subject to Breakdown, Taking Account of the Times Required to Carry Out Failure and Preventive Replacements
Optimal Preventive Replacement Interval or Age of an Item Subject to Breakdown: Minimization of Downtime
Group Replacement: Optimal Interval between Group Replacements of Items Subject to Failure: the Lamp Replacement Problem
Further Replacement Models
Case Study on Project Prioritization, Trend Tests, Weibull Analysis, and Optimizing Component Replacement Intervals
Spare Parts Provisioning: Preventive Replacement Spares
Spare Parts Provisioning: Insurance Spares
Solving the Constant-Interval and Age-Based Models Graphically: Use of Glasser’s Graphs
Solving the Constant-Interval and Age-Based Models Using OREST Software
Optimal Inspection Frequency: Maximization of Profit
Optimal Inspection Frequency: Minimization of Downtime
Optimal Inspection Interval to Maximize the Availability of Equipment Used in Emergency Conditions, Such as a Protective Device
Optimizing CBM Decisions
Capital Equipment Replacement Decisions
Optimal Replacement Interval for Capital Equipment: Minimization of Total Cost
Optimal Replacement Interval for Capital Equipment: Maximization of Discounted Benefits
Optimal Replacement Interval for Capital Equipment Whose Planned Utilization Pattern Is Variable: Minimization of Total Cost
Optimal Replacement Policy for Capital Equipment Taking into Account Technological Improvement: Finite Planning Horizon
Optimal Replacement Policy for Capital Equipment Taking into Account Technological Improvement: Infinite Planning Horizon
Software for Economic Life Optimization
Maintenance Resource Requirements
Queuing Theory Preliminaries
Optimal Number of Workshop Machines to Meet a Fluctuating Workload
Optimal Mix of Two Classes of Similar Equipment (such as Medium/Large Lathes) to Meet a Fluctuating Workload
Rightsizing a Fleet of Equipment: An Application
Optimal Size of a Maintenance Workforce to Meet a Fluctuating Workload, Taking Account of Subcontracting Opportunities
The Lease or Buy Decision
Maximum Likelihood Estimator
Time Value of Money: Discounted Cash Flow Analysis
List of Applications of Maintenance Decision Optimization Models
Ordinates of the Standard Normal Distribution
Areas in the Tail of the Standard Normal Distribution
Values of Gamma Function
Median Ranks Table
Five Percent Ranks Table
Ninety-Five Percent Ranks Table
Critical Values for the Kolmogorov–Smirnov Statistic (dα) Answers to Problems