Maintenance, Replacement, and Reliability: Theory and Applications, Second Edition, 2nd Edition (Paperback) book cover

Maintenance, Replacement, and Reliability

Theory and Applications, Second Edition, 2nd Edition

By Andrew K.S. Jardine, Albert H.C. Tsang

CRC Press

364 pages | 177 B/W Illus.

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Description

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:

New Topics

  • The role of maintenance in sustainability issues
  • PAS 55, a framework for optimizing management assets
  • Data management issues, including cases where data are unavailable or sparse
  • How candidates for component replacement can be prioritized using the Jack-knife diagram

New Appendices

  • Maximum Likelihood Estimated (MLE)
  • Markov chains and knowledge elicitation procedures based on a Bayesian approach to parameter estimation
  • E-learning materials now supplement two previous appendices (Statistics Primer and Weibull Analysis)
  • Updated the appendix List of Applications of Maintenance Decision Optimization Models

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.

Reviews

"… 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

Table of Contents

Introduction

From Maintenance Management to Physical Asset Management

Challenges of PAM

Improving 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

References

Component Replacement Decisions

Introduction

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

References

Inspection Decisions

Introduction

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

References

Capital Equipment Replacement Decisions

Introduction

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

References

Maintenance Resource Requirements

Introduction

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

References

Appendices:

Statistics Primer

Weibull Analysis

Maximum Likelihood Estimator

Markov Chains

Knowledge Elicitation

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

Index

About the Series

Mechanical Engineering

A Series of Textbooks and Reference Books

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
TEC009000
TECHNOLOGY & ENGINEERING / Engineering (General)
TEC009060
TECHNOLOGY & ENGINEERING / Industrial Engineering
TEC032000
TECHNOLOGY & ENGINEERING / Quality Control