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This introductory textbook links theory with practice using real illustrative cases involving products, plants and infrastructures and exposes the student to the evolutionary trends in maintenance.
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Veröffentlichungsjahr: 2016
Mohammed Ben-Daya
King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
Uday Kumar
Luleå University of Technology, Sweden
D.N. Prabhakar Murthy
The University of Queensland, Brisbane, Australia
This edition first published 2016© 2016 John Wiley & Sons, Ltd
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Library of Congress Cataloging-in-Publication Data
Names: Ben-Daya, Mohammed, author. | Kumar, Uday, author. | Murthy, D. N. P., author.Title: Introduction to maintenance engineering : modeling, optimization, and management / Mohammed Ben-Daya, Dhahran, Saudi Arabia, Uday Kumar, Lulea, Sweden, D. N. Prabhakar Murthy, Brisbane, Australia.Description: Hoboken : John Wiley & Sons, Inc., 2016. | Includes bibliographical references and index.Identifiers: LCCN 2015036759 | ISBN 9781118487198 (cloth)Subjects: LCSH: Maintenance.Classification: LCC TS174 .B455 2016 | DDC 620/.0046–dc23 LC record available at http://lccn.loc.gov/2015036759
A catalogue record for this book is available from the British Library.
To our wives Faouzia, Renu, and Jayashree for their patience and understanding.
The Metal Age, which started around 3000 BC, saw the appearance of metal tools and the evolution of civilizations in different regions of the world. This led to the development of tools for warfare and farming, and the building of roads, boats, houses, and so on. The Industrial Revolution created new mechanical devices and machines. This, in turn, led to the development of the electrical, hydraulic, and other devices and equipment that are used nowadays in nearly all sectors – farming, processing, mining, manufacturing, transport, communication, and so on, all with specific needs for maintenance. The construction of infrastructures (such as electricity, water, gas and sewage networks, dams, roads, railways, bridges, etc.) resulted in new maintenance challenges in order to keep them operational.
The reason why engineered objects (be they products, plants, or infrastructures) need maintenance is that every object is unreliable, in the sense that it degrades with age and/or usage and ultimately fails when it is no longer capable of discharging its function. Maintenance actions compensate for the inherent unreliability of an object and may be grouped broadly into two categories: (i) preventive maintenance (PM) to control the degradation process and (ii) corrective maintenance (CM) to restore a failed object to the operational state.
Maintenance actions were mainly of the corrective type until the middle of the last century – the adage being, “don’t touch if it ain’t broke.” Also, preventive actions were viewed as money wasted. Maintenance was done by trained technicians who were very good at fixing failures (often fondly referred to as “grease-pit monkeys” in the popular literature). Maintenance was an afterthought in the design of new objects and was simply viewed as an unavoidable cost to be incurred after these objects were built and put into operation.
There was a dramatic change after the Second World War. Reliability evolved as a new discipline, and the theory of reliability dealt with various aspects, such as (i) the science of degradation, (ii) the use of statistical methods to assess reliability, and (iii) mathematical models to predict item failures and the importance of preventive maintenance. Investing in preventive maintenance lowers the cost of corrective maintenance but results in additional costs. Operational Research (the application of scientific methods to solve industrial problems) focused on models to decide on the optimal level of preventive maintenance to achieve a proper trade-off between the costs of corrective and preventive maintenance.
The next stage of evolution was the emergence of alternative approaches to the maintenance of objects in different industry sectors. Two methods that have been used extensively across the world are: (i) reliability-centered maintenance (RCM), which had its origins in the airline industry, and (ii) total productive maintenance (TPM), which had its origins in manufacturing. Advances in technology (sensors, data collection, computers, and communication) have resulted in the evolution of condition-based maintenance (CBM) and e-maintenance.
Maintenance in the twenty-first century has moved from the trial and error approach of the technicians of the early twentieth century to a multi-disciplinary subject with science, engineering, and technology as its foundations. A maintenance engineer is a professional engineer with this background, and so is different from a maintenance technician, who is skilled in carrying out specified maintenance tasks. An understanding of the basic principles of management is also an important element of modern maintenance practice. Furthermore, maintenance engineers/managers need advanced techniques for maintenance data analysis and also need to build models to assist effective maintenance decision making. The need to interact with other disciplines (such as law, accounting, etc.) is also needed by senior-level maintenance managers. The figure below shows this in a schematic format.
Over the last few decades, hundreds of books on maintenance have appeared in print. The authors are not aware of any book for use in a first course on maintenance that takes the comprehensive view needed for the twenty-first century. This book aims to fill this gap and is meant for use as a textbook on maintenance at the senior undergraduate or graduate level in engineering programs. The unique features of the book are as follows:
It provides a unified approach linking science, engineering, technology, mathematics and statistics, and management.
It focuses on concepts, tools, and techniques.
It links theory and practice using real, illustrative cases involving products, plants, and infrastructures (many chapters have three sections dealing with specific issues for these different types of items).
The book provides a good foundation for a new graduate to work as a maintenance engineer and to build a career by moving through the ranks of junior- and middle-level management responsible for maintaining the various types of engineered objects. It can also be used as a reference book by practicing maintenance engineers/managers to understand the modern knowledge-based approach to maintenance. The book can also be used as a starting point for researchers in maintenance.
The book is flexible enough to be used as a textbook in various undergraduate and graduate programs. A suggested sequence for four programs is as follows:
Undergraduate level
Industrial engineering programs:
Chapters 1
–
7
,
8
–
9
,
17
,
19
–
22
Other engineering programs:
Chapters 1
–
4
,
6
–
7
,
17
,
19
,
22
Graduate level
Maintenance engineering programs:
Chapters 1
–
4
,
6
,
8
–
12
,
13
–
20
Engineering management programs:
Chapters 1
–
7
,
17
–
22
Each chapter deals with several topics. The book is suitable for one or two full courses or part of one or more courses depending on the topics selected.
The background needed to understand and fully appreciate the contents of the book is an understanding of the basic concepts from the following disciplines:
Mathematics;
Physics and Chemistry;
Engineering (covering design, manufacturing, construction, and operations);
Probability and Statistics.
This book evolved through a joint partnership between three researchers/educators from three different continents and is based on the experiences of the authors in teaching and research in maintenance over the last three decades.
Mohammed Ben-Daya, Dhahran, Saudi Arabia
Uday Kumar, Lulea, Sweden
D.N. Prabhakar Murthy, Brisbane, Australia
Many colleagues and ex-doctoral students from several universities have helped in different ways. A special thanks to the following people:
Dr Nat Jack for discussions and proof reading;
Dr Mohamed Rezaul Karim from the University of Rajasahi in Bangladesh for carrying out the data analysis and modeling (using Minitab) for the examples in Part B of the book;
Dr Iman Arasteh Khouy from Lulea University of Technology in Sweden for writing the second case study of
Chapter 23
;
Professor Alireza Ahmadi from Lulea Technical University in Sweden for assistance with the first case study of
Chapter 23
.
Others who have been very helpful include Professor Renyan Jiang from Changsha University in China and Dr Sami Elferik from King Fahd University of Petroleum & Minerals. The authors are grateful for their help and contributions.
The authors wish to acknowledge the support from King Fahd University of Petroleum & Minerals (project # IN 121004), Luleå University of Technology, and the University of Queensland. Finally, a special thanks to Anne Hunt, Tom Carter, and Clive Lawson from the editorial staff of Wiley for their support and encouragement.
A–D
Anderson and Darling
AE
Acoustic emission
AI
Artificial Intelligence
AIC
Akaike information criterion
ASCE
American Society of Civil Engineers
BIT
Built-in-testing
BOT
Build, operate, transfer
CAPEX
Capital expenditure
CBM
Condition-based maintenance
CC
Cycle cost
CEN
Comité Européenne de Normalisation (French) European Committee for Standardization
CEO
Chief Executive Officer
CL
Cycle length
CM
Corrective maintenance
CMMS
Computerized maintenance management system
CPM
Critical path method
DBFO
Design, build, finance, and operate
DIKW
Data, information, knowledge, and wisdom
DoD
Department of Defense
DOM
Design out maintenance
DTC
Diagnostic trouble code
EAC
Equivalent annual cost
ECC
Expected cycle cost
ECL
Expected cycle length
EDF
Empirical distribution function
EMMS
e-maintenance management system
EN
Europäische Norm (German): European Standard
EPP
Exponential probability plot
ET
Electromagnetic testing
FF
Failure finding
FHWA
Federal Highway Authority
FM
Facilities management
FMEA
Failure mode and effects analysis
FMECA
Failure mode, effects, and criticality analysis
FMMEA
Failure modes, mechanisms, and effects analysis
FRW
Free repair/replacement warranty
FT
Fault tree
FTA
Fault tree analysis
GPR
Ground-penetrating radar
GPRS
General packet radio service
HPP
Homogeneous Poisson process
HSE
Health, safety, and environmental
ICT
Information and communication technology
IEC
International Electrotechnical Commission
IEEE
Institute of Electrical and Electronics Engineers
IEV
International electrotechnical vocabulary
IMU
Intelligent monitoring unit
IQR
Inter-quartile range
ISO
International Standards Organization
JIT
Just-in-time
KPI
Key performance indicator
K–S
Kolmogorov and Smirnoff
LC
Lease contract
LCC
Life cycle cost
LCC
C
Life cycle cost (customer perspective)
LCC
M
Life cycle cost (manufacturer perspective)
LCCA
Life cycle cost analysis
LIDAR
Laser imaging detection and ranging
LORA
Level of repair analysis
LT
Leak testing
LTM
Laser testing method
M&R
Maintenance and rehabilitation
MCF
Mean cumulative function
MEMS
Micro-electromechanical sensor
MFL
Magnetic flux linkage
MGT
Million gross tons
MIL-HDBK
Military handbook
ML
Maximum likelihood
MLE
Maximum likelihood estimate
MMS
Maintenance management system
MPI
Maintenance performance indicator
MPM
Maintenance performance metric
Maintenance performance management
MPMS
Maintenance performance management system
MPT
Magnetic particle testing
MTBF
Mean time between failures
MTTF
Mean time to failure
MTTR
Mean time to repair
NASA
National Aeronautic and Space Administration
NDT
Non-destructive testing
NFF
No fault found
NHPP
Non-homogeneous Poisson process
NN
Neural network
NPD
New product development
NPV
Net present value
NRT
Neutron radiographic testing
NTC
Negative temperature coefficient
O&M
Operation and maintenance
OBD
On-board diagnostics
OEE
Overall equipment effectiveness
OEM
Original equipment manufacturer
OOR
Out-of-round
OPEX
Operating expenditure
OPG
One-pass grinding
OR
Operations Research
PDCA
Plan, do, Check, Act
PFI
Private financing initiative
PI
Performance indicator
PLC
Product life cycle
PM
Preventive maintenance
PMS
Performance management system
Production management system
PPE
Property, plant, and equipment
PPP
Public–private partnership
PT
Penetrant testing
PTC
Positive temperature coefficient
R&D
Research and development
R&M
Reliability and maintainability
RAIB
Rail Accident Investigation Branch
RAM
Reliability, availability, and maintainability
RBD
Reliability block diagram
RBM
Risk-based maintenance
RCD
Residual current device
RCF
Rolling contact fatigue
RCM
Reliability-centered maintenance
RFID
Radio frequency identification
RIW
Reliability improvement warranty
RLC
Regional logistic center
ROCOF
Rate of occurrence of failures
RP
Renewal process
RT
Radiographic testing
RTD
Resistance temperature detector
RTF
Run to failure
SAE
Society of Automotive Engineers
SCC
Stress corrosion cracking
SOLE
The International Society of Logistics
SRB
Solid rocket booster
TAM
Turn around maintenance
TLC
Technology life cycle
TPM
Total productive maintenance
TQM
Total quality management
TR
Thermal/infrared testing
UHF
Ultra high frequency
UT
Ultrasonic testing
VA
Vibration analysis
VHF
Very high frequency
VT
Visual testing
WLAN
Wireless local area network
WPAN
Wireless personal area network
WPP
Weibull probability plot
WSN
Wireless sensor network
WT
Wind turbine
WWAN
Wireless wide area network
After reading this chapter, you should be able to:
Define maintenance and explain its importance from a strategic business perspective;
List the three main aspects of maintenance;
Provide a classification of engineered objects;
Describe reliability and non-reliability performance measures of engineered objects;
Describe the factors that affect performance degradation;
Recognize the consequences of poor maintenance;
Describe the main categories of maintenance costs;
Explain that there is a trade-off between preventive maintenance effort and maintenance costs;
Explain that there are maintenance decision-making problems at the strategic, tactical, and operational levels;
Describe the evolution of maintenance over time and the new trends;
Understand the structure of the book.
Modern societies use a range of engineered objects for many different purposes. The objects are designed and built for specific functions. These include a variety of products (used by households, businesses, and government in their daily operations), plants, and facilities (used by businesses to deliver goods and services) and a range of infrastructures (networks such as rail, road, water, gas, electricity; dams, buildings, etc.) to ensure the smooth functioning of a society.
Every engineered object is unreliable in the sense that it degrades with age and/or usage and ultimately fails. A dictionary definition of failure is “falling short in something expected, attempted, desired, or in some way deficient or lacking.” From an engineering point of view, an engineered object is said to have failed when it is no longer able to carry out its intended function for which it was designed and built. Failures occur in an uncertain manner and are influenced by several factors such as design, manufacture (or construction), maintenance, and operation. In addition, the human factor is also important in this context.
The consequence of a product failure may vary from mere inconvenience (for example, a dishwasher failure) to something serious (for example, an automobile brake failure leading to economic and possibly human loss). The failure of an industrial plant or commercial facility may have major economic consequences for a business as it affects the delivery of goods and services (outputs of the business) and the revenue generation. The daily loss in revenue as a result of the product being out of action due to failure may be very high. Rough estimates (circa 2000) for the revenue lost due to engineered objects being out of action are as follows:
Large aircraft (A340 or Boeing 747) ~ $500 000/day;
Dragline (used in open cut mining) ~ $1 million/day;
A large manufacturer (for example, Toyota) ~ $1–2 millions/hour.
Maintenance is the combination of all technical, administrative, and managerial actions during the life cycle of an item intended to retain it in, or restore it to, a state in which it may perform the required function (CEN, 2001).
In a sense, maintenance may be viewed as actions to compensate for the unreliability of an engineered object. Building in reliability is costly and is constrained by technical limits and economic considerations. However, not having adequate reliability is costlier due to the consequence of failures. Thus, maintenance becomes an important issue in this context. Table 1.1 shows the maintenance costs (as a fraction of the operating costs) in different industry sectors, as reported in Campbell (1995).
Table 1.1 Maintenance as a percentage of operating cost.
Industry sector
Maintenance cost (%)
Mining (highly mechanized)
20–50
Primary metals
15–20
Electric utilities
5–15
Manufacturing processing
3–15
Fabrication/assembly
3–5
There are several aspects to maintenance and they may be grouped broadly into the following three categories:
Technical (engineering, science, technology, etc.);
Commercial (economics, legal, marketing, etc.);
Management (from several different perspectives – manufacturer, customer and maintenance service provider when maintenance is outsourced).
This implies that maintenance decisions need to be made in a framework that takes into account these issues from an overall business perspective. Figure 1.1 shows the link between maintenance (strategic and operational) and production from a business perspective.1
Figure 1.1 Maintenance from a business perspective.
In this book we discuss all of these aspects and this chapter gives a broad overview of the book.
The outline of the chapter is as follows. Section 1.2 deals with the classification of engineered objects and presents some examples that are used in later chapters to illustrate different concepts and issues. The performance of an engineered object degrades with age and/or usage and this is the focus of Section 1.3, where we look at both reliability and non-reliability performance measures. Maintenance consists of actions to ensure the desired performance and this is discussed in Section 1.4, where we look at a range of such types of maintenance, the consequence of poor maintenance, maintenance costs, and so on. Although maintenance has been practiced since the dawn of civilization (maintaining shelters to live, stone tools, etc.), the theory of maintenance evolved only recently (in the early part of the twentieth century). Since then it has been growing at an ever-increasing pace and this issue is discussed in Section 1.5, where we look at both the past and future trends. These sections provide the background to highlight the focus of the book, which is discussed in Section 1.6. We conclude the chapter with a brief outline of the various chapters of the book in Section 1.7.
Engineered objects may be grouped into three broad categories, as indicated in Table 1.2.
Table 1.2 Classification of engineered objects.
Products
Consumer:
Household appliances, automobiles, and so on
Commercial and Industrial:
Also referred to as equipment, machinery, and so on
Defense:
Ships, tanks, planes, and so on
Plants
Collection of several elements: Power plant composed of boiler turbine, generators, and so on
Infrastructures
Discrete:
Buildings, dams, and so on
Distributed networks:
Rail, road, gas, water, and so on
Each of these categories may be subdivided, and this is discussed in subsequent sections.
Products may be classified into three groups, as indicated in Table 1.2. Each group may be divided into two subgroups: (i) standard (or off-the-shelf) and (ii) custom-built.
Consumer products:
These are mostly standard products (for example, television sets, appliances, automobiles, and personal computers) that are consumed by society at large. (These products are also consumed by businesses and government agencies.) As such, the number of customers is large, with a small to medium number of manufacturers. The complexity of the product may vary considerably, and the typical small consumer is often not sufficiently well informed to evaluate product performance, especially in cases involving complex products (computers, cars, etc.).
Commercial and industrial products:
These may be either standard or custom-built (for example, mainframe computers, CNC machines, pumps, X-ray machines, and aircraft), with a small number of customers and manufacturers. The technical complexity of such products and their mode of usage may vary considerably. The products may be either complete units, such as cars, trucks, pumps, and so forth, or product components needed by another manufacturer, such as batteries, drill bits, electronic modules, turbines, and so on.
2
Defense products:
These are specialized products (for example, military aircraft, ships, rockets) with a single customer and a relatively small number of manufacturers. The products are usually complex and expensive and involve state-of-the-art technology with considerable research and development effort required from the manufacturers. These products are usually designed and built to customers’ requirements.
Plants are used to produce a variety of goods. They may be classified into several categories, as indicated in Table 1.3.
Table 1.3 Classification of plants.
Industry sector
Operations and outputs
Mining
Extracting and enriching raw materials (for example, ore, fuels)
Processing
Converting ore to metal, crude oil to gasoline, and so on
Manufacturing
Converting processing plant outputs to goods
Power
Producing electricity from coal, oil, nuclear fuel, and so on
Facilities (such as hospitals, schools, sport centers, entertainment centers, etc.) also use a range of products to deliver different services. We include these under plants.
A facility is a collection of products used to produce different types of services. They may be classified into several categories, as indicated in Table 1.4.
Table 1.4 Classification of facilities based on sectors.
Health
Provide healthcare in hospitals, nursing homes, and so on
Transport
Help move goods and people by road, rail, sea, or air
Maintenance
Provide maintenance services for a variety of industrial and commercial products (such as elevators, buses, etc.)
Educational
Provide education (such as in schools and universities)
Infrastructures are physical structures and facilities that provide services essential for plant operation and also to enable, sustain, or enhance societal living conditions. In other words, they are needed for the smooth operation of a society and the effective functioning of the economy. Infrastructures facilitate the production of goods and services and their delivery to customers; they may be classified into several groups, as indicated in Table 1.5.
Table 1.5 Classification of infrastructures.
Industry sector
Examples of infrastructures
Transport
Road and rail networks, ferries, airports, pavements, bridges, and so on
Energy
Electricity networks, gas and petroleum pipelines, and so on
Water management
Water network, sewerage network, dams, and so on
Communication
Telephone and mobile phone networks, cable television, Internet, and so on
Others
Public buildings such as school and hospital buildings, and so on
Infrastructures may be further classified as being (i) distributed (involving a spatial dimension, such as networks) or (ii) discrete or lumped (where the spatial dimension is not significant, such as buildings, dams, terminals, etc.).
The term asset is often used in the context of maintenance. In financial accounting, assets are economic resources – tangible or intangible with a positive economic value. A business balance sheet records the monetary value of the assets owned by the business. Tangible assets contain various subclasses, including current assets and fixed assets. Current assets include inventory (such as spares and material needed for carrying out maintenance), whilst fixed physical assets (such as buildings, plants, and equipment) are purchased for continued and long-term use to earn profit for a business. This group includes buildings, machinery, furniture, tools, equipment, and so on. They are written off against profits over their anticipated lives by charging depreciation expenses. Accumulated depreciation is shown in the balance sheet.
The term system is used to denote a collection of interconnected elements. Thus, a product, a plant, and an infrastructure may all be viewed as a system.
