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The purpose of this chapter book, is to provide a Maintenance and Reliability Management Model for the project: Design and Construction of the Third Set of Locks in the Panama Canal, with the approach of the process of asset management optimization. A practical vision of the maintenance and reliability management process and framework is presented with the idea of: • Structuring the maintenance management process by grouping management activities within a series of so-called management building blocks; • Structuring the framework grouping techniques that can be used to support decisions to be taken within each of these building block. The chapter is divided in three sections. The first one presents a generic model proposed for maintenance and reliability management, which integrates other models found in the literature for built and in-use assets, and consists of eight sequential management building blocks (Crespo, 2007, Parra and Crespo, 2012). The different maintenance engineering techniques are playing a crucial role within each one of those eight management building blocks. Following this path, it characterizes the "maintenance management framework", i.e. the supporting structure of the management process. Additionally, in this section, are described, the roles of managers and supervisors, who will perform the activities in the maintenance management model proposed. The second section deals an introduction to the principles of RCM (Reliability Centered Maintenance) and describes an RCM process that incorporates risk-based decision tools. The content can be readily assimilated by the future maintenance and operations people at all levels, in the start of operations of the third set of locks in the Panama Canal. RCM will provide a systematic approach for defining maintenance tasks for critical systems. The third section is related with the three basic indicators of maintenance management, availability, reliability and maintainability. We hereafter shall present the parameters to be used in the calculation of these indexes and how to use these indicators in the process of maintenance optimization. Finally, this chapter book presents not only a process but also the framework and techniques to manage and improve maintenance and reliability effectiveness and efficiency. This report will be used to assist different plant teams to elaborate the optimal strategies for maintenance and inspection for the assets, specified for the project: Third Set of Locks in the Panama Canal.
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Draft-v-01/2015-Chapter Book:
MAINTENANCE AND RELIABILITY MANAGEMENT MODEL PROPOSED FOR THE
PROJECT: THIRD SET OF LOCKS IN THE PANAMA CANAL
Carlos Parraa, Adolfo Crespoa, Vicente Gonzáleza, Fredy Kristjanpollerb, Pablo Viverosb,
Gabriel Llortc, Alfredo Aguilarc
a
Department Industrial Management School of Engineering of the University of Seville, España
parrac@ingecon.net.in, adolfo@esi.us.es, vicente.gonzalezprida@gdels.com
a
Department of Industrial Engineering, University Federico Santa María, Valparaíso, Chile
pablo.viveros@usm.cl, fredy.kristjanpoller@usm.cl
c
MWH Global, Construction Project: Third Set of Locks in the Panamá Canal, Panamá
gabriel.llort@mwhglobal.com, alfredo.aguilar@mwhglobal.com
Abstract
The purpose of this chapter book, is to provide a Maintenance and Reliability Management Model for the
project: Design and Construction of the Third Set of Locks in the Panama Canal, with the approach of the
process of asset management optimization. A practical vision of the maintenance and reliability management
process and framework is presented with the idea of:
Structuring the maintenance management process by grouping management activities within a series of
so-called management building blocks;
Structuring the framework grouping techniques that can be used to support decisions to be taken within
each of these building block.
The chapter is divided in three sections. The first one presents a generic model proposed for maintenance and
reliability management, which integrates other models found in the literature for built and in-use assets, and
consists of eight sequential management building blocks (Crespo, 2007, Parra and Crespo, 2012). The different
maintenance engineering techniques are playing a crucial role within each one of those eight management
building blocks. Following this path, it characterizes the “maintenance management framework”, i.e. the
supporting structure of the management process. Additionally, in this section, are described, the roles of
managers and supervisors, who will perform the activities in the maintenance management model proposed.
The second section deals an introduction to the principles of RCM (Reliability Centered Maintenance) and
describes an RCM process that incorporates risk-based decision tools. The content can be readily assimilated
by the future maintenance and operations people at all levels, in the start of operations of the third set of locks
in the Panama Canal. RCM will provide a systematic approach for defining maintenance tasks for critical
systems.
The third section is related with the three basic indicators of maintenance management, availability, reliability
and maintainability. We hereafter shall present the parameters to be used in the calculation of these indexes and
how to use these indicators in the process of maintenance optimization.
Finally, this chapter book presents not only a process but also the framework and techniques to manage and
improve maintenance and reliability effectiveness and efficiency. This report will be used to assist different
plant teams to elaborate the optimal strategies for maintenance and inspection for the assets, specified for the
project: Third Set of Locks in the Panama Canal.
Keywords: Maintenance and Reliability Management Model, Asset Management, RCM: Reliability Centered
Maintenance.
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1. MAINTENANCE MANAGEMENT MODEL PROPOSED FOR THE
PROJECT: THIRD SET OF LOCKS IN THE ACP (AUTORIDAD DEL
CANAL DE PANAMÁ)
1.1. INTRODUCTION TO MAINTENANCE MANAGEMENT MODEL
The Maintenance Management Models are frequently associated with a wide range of
difficulties. Why is this function, at least in appearance, so difficult to manage? We have
carried out a review of literature to find out some of the reasons:
- Lack of maintenance management models (Parra and Crespo, 2012). There is a lack
of models that could improve the understanding of the underlying dimensions of
maintenance. Maintenance is somewhat “under-developed” with a lack of effective
prevention methodologies and the integration of said methods in manufacturing
companies in most continents;
- Wide diversification in the maintenance problems. Maintenance is composed of a set
of activities for which it is very difficult to find procedures and information support
systems in one place to ease the improvement process. Normally, there is a very wide
diversification in the problems that maintenance encounters, sometimes a very high
level of variety in the technology used to manufacture the product, even in businesses
within the same productive sector; therefore, it has been difficult to design an
operative methodology of general applicability;
- Lack of plant/process knowledge and data. Managers, supervisors and operators
typically find that the lack of plant and process knowledge is the main constraint,
followed by the lack of historical data, to implement suitable maintenance policies;
- Lack of time to complete the analysis required. Many managers indicate how they do
not have the required time to carry out suitable maintenance problems analysis. Day
to day actions and decision making activities distract them from these fundamental
activities to improve maintenance;
- Lack of top management support. Lack of leadership to foster maintenance
improvement programs, fear of an increase in production disruptions, etc., are other
common causes of maintenance underdevelopment in organizations;
- Exigent safety and environmental factors. In addition to process and technology
related issues mentioned above, new and more exigent safety and environmental
factors such as emerging regulations put pressure on a maintenance manager and add
complexity to this function.
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Some authors (Parra and Crespo, 2012) have worked on the characterization of the
complexity found in managing the maintenance function in a production environment,
creating tools where we are able to value each one of previously reviewed factors for a certain
organization (with a degree of fulfilment DFi), and evaluate them according to
environmental aspects (with a relevance factor RFi). The maintenance management
complexity index can be helpful as one way of comparing across different production
environments to help decide the relative effort and resources required to maintain them.
1.2. PROPOSAL FOR A GENERIC MODEL OF MAINTENANCE
MANAGEMENT FOR THE PROJECT: THIRD SET OF LOCKS IN
THE ACP
The generic model proposed for maintenance management that will now be proposed and
defined integrates other models found in the literature for built and in-use assets, and consists
of eight sequential management building blocks (Parra and Crespo, 2012). Each block is, in
fact, a key decision area for asset maintenance and life cycle management. Within each of
these decision areas we can find methods and models that may be used to order and facilitate
the decision-making processes (this model is being used in the ACP since 2012).
The maintenance management process can be divided into two parts: the definition of the
strategy, and the strategy implementation. The first part, definition of the maintenance strategy,
requires the definition of the maintenance objectives as an input, which will be derived directly
from the business plan. This initial part of the maintenance management process conditions the
success of maintenance in an organization, and determines the effectiveness of the subsequent
implementation of the maintenance plans, schedules, controls and improvements. Effectiveness
shows how well a department or function meets its goals or company needs, and is often
discussed in terms of the quality of the service provided, viewed from the customer’s
perspective. Effectiveness concentrates then on the correctness of the process and whether the
process produces the required result (Vagliasindi, 1989; Wireman, 1998 and Palmer, 1999).
The second part of the process, the implementation of the selected strategy has a different
significance level. Our ability to deal with the maintenance management implementation
problem (for instance, our ability to ensure proper skill levels, proper work preparation, suitable
tools and schedule fulfilment), will allow us to minimize the maintenance direct cost (labour
and other maintenance required resources). In this part of the process, we deal with the
efficiency of our management, which should be less important. Efficiency is acting or producing
with minimum waste, expense, or unnecessary effort. Efficiency is then understood as providing
the same or better maintenance for the same cost.
In this report, we present a generic model proposed for maintenance management integrates
other models found in the literature (Pintelon and Gelders, 1992; Vanneste and van
Wassenhove, 1995) for built and in-use assets, and consists of eight sequential management
building blocks, as shown in Figure 1 (Parra and Crespo, 2012). The first three building blocks
condition maintenance effectiveness, the fourth and fifth ensure maintenance efficiency, blocks
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six and seven are devoted to maintenance and assets life cycle cost assessment, finally block
number eight ensures continuous maintenance management improvement. The maintenance
management model proposed to the project: Third Set of Locks in the ACP, is presented below
(model is based on the Asset Management Standards ISO 55000, 55001 and 55002).
Figure 1. Maintenance Management Model
Source: Crespo Marquez, A. (2007), The Maintenance Management Framework, Models
and Methods for Complex Systems Maintenance, Springer, London.
In this section, we will briefly introduce each block and discuss methods that may be used to
improve each building block decision-making process (Figure 2) (Parra and Crespo 2012).
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Figure 2. Sample of techniques within the maintenance management framework
Source: Crespo Marquez, A. (2007), The Maintenance Management Framework, Models
and Methods for Complex Systems Maintenance, Springer, London.
1.2.1 Definition of Maintenance Objectives and Strategy
Regarding the definition of maintenance objectives and key performance indicators KPI’s
(Phase 1), it is common the operational objectives and strategy, as well as the performance
measures, are inconsistent with the declared overall business strategy (Gelders et al., 1994). This
unsatisfactory situation can indeed be avoided by introducing the balanced scorecard BSC
(Kaplan and Norton, 1992). The BSC is specific for the organization for which it is developed
and allows the creation of KPIs for measuring maintenance management performance which
are aligned to the organization’s strategic objectives.
1.2.2 Asset Priority and Maintenance Strategy Definition
Once the maintenance objectives and strategy are defined, there are a large number of
quantitative and qualitative techniques which attempt to provide a systematic basis for deciding
what assets should have priority within a maintenance management process (Phase 2), a decision
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that should be taken in accordance with the existing maintenance strategy. Most of the
quantitative techniques use a variation of a concept known as the “probability/risk number”
PRN (Moubray, 1997).
Assets with the higher PRN will be analysed first. Often, the number of assets potentially at risk
outweighs the resources available to manage them. It is therefore extremely important to know
where to apply available resources to mitigate risk in a cost-effective and efficient manner. Risk
assessment is the part of the ongoing risk management process that assigns relative priorities for
mitigation plans and implementation. In professional risk assessments, risk combines the
probability of an event occurring with the impact that event would cause. The usual measure of
risk for a class of events is then R = P x C, where P is probability and C is consequence. The
total risk is therefore the sum of the individual class-risks (Parra and Crespo, 2012). The
procedure to follow in order to carry out an assets criticality analysis following risk assessment
techniques could be then depicted as follows:
(1) define the purpose and scope of the analysis;
(2) establish the risk factors to take into account and their relative importance;
(3) decide on the number of asset risk criticality levels to establish; and
(4) establish the overall procedure for the identification and priorization of the critical
assets.
Notice that assessing criticality will be specific to each individual system, plant or business unit.
For instance, criticality of two similar plants in the same industry may be different since risk
factors for both plants may vary or have different relative importance.
1.2.3 Immediate Intervention on High Impact Weak Points
Once the assets have been prioritized and the maintenance strategy to follow defined, the next
step would be to develop the corresponding maintenance actions associated with each category
of assets. Before doing so, we may focus on certain repetitive or chronic failures that take
place in high-priority items (Phase 3).
Finding and eliminating, if possible, the causes of those failures could be an immediate
intervention providing a fast and important initial payback of our maintenance management
strategy. The entire and detailed equipment maintenance analysis and design could be
accomplished, reaping the benefits of this intervention if successful.
There are different methods developed to carry out this weak point analysis, one of the most
well known being RCFA (Root Cause Failure Analysis). This method consists of a series of
actions taken to find out why a particular failure or problem exists and to correct those causes.
Causes can be classified as physical, human or latent. The physical cause is the reason why the
asset failed, the technical explanation on why things broke or failed. The human cause includes
the human errors (omission or commission) resulting in physical roots. Finally, the latent cause
includes the deficiencies in the management systems that allow the human errors to continue
unchecked (flaws in the systems and procedures). Latent failure causes will be our main concern
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at this point of the process. Note that although informal RCFA techniques are usually used by
individual or groups to determine corrective actions for a problem, they have limitations that
can make the development of long-term solutions difficult
1.2.4 Design of the Preventive Maintenance Plans and Resources
Designing the preventive maintenance (PM) plan for a certain system (Phase 4) requires
identifying its functions, the way these functions may fail and then establish a set of applicable
and effective PM tasks, based on considerations of system safety and economy. A formal
method to do this is the RCM (Parra and Crespo, 2012). . RCM methodology allows the
identification of real maintenance needs starting from the analysis of the 7 questions:
- What are the functions and associated performance standards of the asset in its present
operating context?
- In what ways does it fail to fulfil its functions?
- What causes each functional failure?
- What happens when each failure occurs?
- In what way does each failure matter?
- What can be done to prevent each failure?
- What should be done if a suitable preventive task cannot be found?
1.2.5 Preventive Plan, Schedule and Resources Optimization
Optimization of maintenance planning and scheduling (Phase 5) can be carried out to enhance
the effectiveness and efficiency of the maintenance policies resulting from an initial PM plan
and program design.
Models to optimize maintenance plan and schedules will vary depending on the time horizon of
the analysis. Long-term models address maintenance capacity planning, spare parts
provisioning and the maintenance/replacement interval determination problems, mid-term
models may address, for instance, the scheduling of the maintenance activities in a long plant
shut down, while short-term models focus on resources allocation and control (Duffuaa, 2000).
Modelling approaches, analytical and empirical, are very diverse. The complexity of the
problem is often very high and forces the consideration of certain assumptions in order to
simplify the analytical resolution of the models, or sometimes to reduce the computational
needs.
For example, the use of Monte-Carlo simulation modelling can improve PM scheduling,
allowing the assessment of alternative scheduling policies that could be implemented
dynamically on the plant/shop floor (Parra and Crespo, 2012).
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1.2.6 Maintenance Execution Assessment and Control
The execution of the maintenance activities, once designed planned and scheduled using
techniques described for previous building blocks have to be evaluated and deviations controlled
to continuously pursue business targets and approach stretch values for key maintenance
performance indicators as selected by the organization (Phase 6). Many of the high-level
maintenance KPIs, are built or composed using other basic level technical and economical
indicators. Therefore, it is very important to make sure that the organization captures suitable
data and that data are properly aggregated/disaggregated according to the required level of
maintenance performance analysis.
1.2.7 Asset Life Cycle Analysis and Replacement Optimization
A life cycle cost analysis (Phase 7) calculates the cost of an asset for its entire life span (Figure
4) (Parra and Crespo, 2012). The analysis of a typical asset could include costs for planning,
research and development (R&D), production, operation, maintenance and disposal. Costs such
as up-front acquisition (research, design, test, production and construction) are usually obvious,
but life cycle cost analysis crucially depends on values calculated from reliability analyses such
us failure rate, cost of spares, repair times, and component costs. A life cycle cost analysis is
important when making decisions about capital equipment (replacement or new acquisition)
(Campbell and Jardine, 2001), it reinforces the importance of locked in costs, such as R&D, and
it offers three important benefits:
Figure 3. Life cycle cost analysis
Source: Parra, C. and Crespo, A, (2012), Ingeniería de Mantenimiento y Fiabilidad Aplicada
en la Gestión de Activos. Desarrollo y aplicación práctica de un Modelo de Gestión del
Mantenimiento (MGM), Primera Edición. Editado por INGEMAN, Escuela Superior de
Ingenieros Industriales, Universidad de Sevilla, España.
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(1) All costs associated with an asset become visible. Especially: upstream; R&D, downstream;
maintenance.
(2) Allows an analysis of business function interrelationships. Low R&D costs may lead to high-
maintenance costs in the future.
(3) Differences in early stage expenditure are highlighted, enabling managers to develop
accurate revenue predictions.
2.8 Continuous Improvement and New Techniques Utilization
Continuous improvement of maintenance management (Phase 8) will be possible due to the
utilization of emerging techniques and technologies in areas that are considered to be of higher
impact as a result of the previous steps of our management process. Regarding the application
of new technologies to maintenance, the “e-maintenance” concept (Parra and Crespo, 2012) is
put forward as a component of the e-manufacturing concept (Lee, 2003), which profits from the
emerging information and communication technologies (ICTs) to implement a cooperative and
distributed multi-user environment. e-Maintenance can be defined (Tsang et al., 1999) as a
maintenance support which includes the resources, services and management necessary to
enable proactive decision process execution.
This section summarizes the process (the course of action and the series of stages or steps to
follow) and the framework (the essential supporting structure and the basic system) needed to
manage and optimize the maintenance strategies in theThird Set of Locks of the ACP.
1.3. PROPOSAL OF A RELIABILITY TEAM TO IMPLEMENT THE
ACTIVITIES WITHIN THE MAINTENANCE MANAGEMENT
MODEL
With the aim to cover different activities to be developed within each block of the maintenance
management model proposed for the Third Set of Locks of the ACP, it is necessary to create a
support group in Maintenance and Reliability Engineering, to promote and run a set of activities
at different stages of the maintenance model presented in Figure 1. Initially, this group will
implement the MAXIMO system and subsequently, shall control and manage the MAXIMO
and develop an optimization process from Maintenance and Reliability techniques.
1.3.1 Minimum requirements of knowledge for Expert in Reliability and Maintenance
Management
This section contains the minimum requirements of the theoretical knowledge for a
maintenance and reliability manager in general. However, this document aims to fulfil the
intention to be comprehensive enough and include the essential and fundamental knowledge
that any expert in maintenance management needs to have, regardless of which company or
in which country he or she is working. The requirements cover the following areas (EFNMS
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publication of June 19th 2006. The requirements of Competencies and Responsibilities for
an European Expert in Maintenance and Realibility):
1.3.1.1 Management and Organization
Within this area, it is essential to have a very good knowledge about the importance of
maintenance for the economy in the company, for achieving production goals and for the
quality of the product, and so on. It is important to have good knowledge of how maintenance
activities are organized. Therefore, the following knowledge is necessary:
- How to set up a company management policy to be able to participate in its definition
as far as maintenance is concerned to:
- describe why a policy has to be set up and what the requirements are for that policy;
- give examples on in which way the maintenance aspects are in a company
management policy.
- How to formulate the maintenance policy within a company to:
- give an example of a maintenance policy;
- describe the requirements for a maintenance policy;
- describe the process of the development of a maintenance policy.
- How to formulate the maintenance goals to:
- describe the general requirements for maintenance goals;
- describe the process of the development of maintenance goals;
- give examples of maintenance goals;
- describe the relationship between goals and policy.
- Different maintenance strategies and how to choose the right strategy to:
- formulate different maintenance strategies;
- describe the reasons behind the choice of a certain strategy.
- How to specify the requirements for the maintenance activities to:
- describe the different maintenance activities;
- describe different requirements for the maintenance activities;
- describe the process of the identification, the formulation and the communication of
the requirements.
- How to organize the maintenance activities, how to choose a suitable organization
and assure the right competence within the organization to:
- describe different types of maintenance organizations (e.g. centralized,
decentralized, co-operation with the equipment supplier and/or servicing companies
and integration with the production);
- describe the advantages and the disadvantages with the different types of
organizations and the combination of them;
- describe how to develop the competence in all the different types of organizations.
- How to determine the human and material resources in order to implement the
organization to:
- state the different types of maintenance resources (e.g. tools, material, personnel,
transportation, documentation, shops);
- describe how to develop and optimize the maintenance resources (personnel and
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material), their location, quality and quantity.
- How to assure (by maintenance activities) the health and safety and the right
environment conditions (inside and outside the company) to:
- describe different conditions in the production equipment that may cause risks for
health, safety and the environment (inside and outside the company);
- describe the possibility to prevent such incidents by maintenance activities,
including co-operation with other departments in the company and external parties;
- How to guide, control and analyze the maintenance activities to:
- describe different methods and techniques to achieve an optimized result for the
company by the maintenance activities, including the economical and safety aspects
for these methods and techniques;
- describe different general aspects that are to be taken into account for analysis;
- describe the methods and techniques for analyzing and the betterment process;
- How to develop and use key-figures for the economical control to:
- describe how to use the key-figures in the control and development of the
maintenance activities;
- describe what the fundamental requirements are for key-figures;
- describe the most useful key figures for different maintenance organizations.
- LCC (Life Cycle Cost) techniques/methods to:
- describe the methods of LCC, and when they can be used;
- be able to make some fundamental calculations of LCC;
- describe how to organize the work when using the concepts of LCC;
- describe how the concepts of LCC can be used in different situations;
- describe how to specify the LCC requirements in a procurement process;
- describe different methods to control the maintenance activities;
- understand the different maintenance concepts (e.g. TPM, RCM).
- describe how to verify the LCC values and the consequences if the verified result is
not in accordance with the specified requirements [Good Knowledge].
- Logistics support, material and store handling, methods for spare part calculations to:
- describe the different factors that will have an influence on an optimized
organization of the spare part consumption (e.g. cost for lack of spare parts, cost for
storage, cost for interest);
- describe routines and organization for an optimized logistic support of spare parts
(e.g. purchasing, quality control, delivery systems inside the maintenance
organization);
- describe different ways of organizing the spare part store (e.g. centralized,
decentralized, at the supplier);
- describe how to calculate the total amount of spare parts and how many of each type,
inclusive the typical mathematical formulas for this purpose.
- How to measure and analyze the results of the maintenance activities, e.g. efficiency
and economy to:
- describe different methods to measure the result of the maintenance activities, the
advantages and disadvantages with the methods and their handling of the economical
aspects;
- describe what is not covered by these methods;
- understand different economical models regarding maintenance and understand the
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fundamental principles regarding the economical results for a company;
- be able to develop a model for measurement and analysis of the maintenance
activities.
- The maintenance activities in the development and procurement of new production
equipment to:
- be able to transfer production requirements into functional requirements (e.g. equipment
dependability) and into quantitative and qualitative maintenance requirements (e.g.
reliability and maintainability) and optimize the resources;
- understand the importance for maintenance of taking part in the development phase;
- describe how the maintenance experience can be used during the design phase.
- How to define the future maintenance needs of a company to:
- understand which factors that are important for the need of maintenance activities
and how they might be changed in the future (e.g. new requirements regarding goals,
strategies and results);
- understand the future needs of maintenance and its influence on the actual activities
in the long run (e.g. work load, type of work, quality and quantity);
- be able to describe different future scenarios.
Reference: The requirements of Competencies and Responsibilities for an
European Specialist in Maintenance Supervision. (EFNMS publication of June
19th 2006).
2. IMPLEMENTATION PROCESS OF THE RELIABILITY
CENTERED MAINTENANCE (RCM) IN THE PROJECT: THIRD SET
OF LOCKS IN THE ACP (AUTORIDAD DEL CANAL DE PANAMÁ)
2.1. INTRODUCTION TO RCM
RCM serves as a guide to identify maintenance activities with their respective frequencies in
the most important elements of an operative context. This is not a mathematical formula; its
success is based on the functional analysis of a certain operational context undertaken by a
review team. The effort developed by the review team allows the generation of a flexible
maintenance management system, adapted to the needs of real maintenance in the
organization. Keeping in mind, personal security, environment, operations and benefit/cost
reason (Crespo, 2007, Parra and Crespo, 2012). RCM specifically allows: a) detection of
failures early enough to ensure minimum interruptions to system’s operation, b) elimination
of causes of some failures before they appear, c) elimination of the causes of some failures
through changes in design, and d) identification of those failures that may happen without
any decrease in the system’s safety.
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2.2. RCM IMPLEMENTATION
2.2.1 The process and de review team
Hereafter we present the proposed scheme for implementation of RCM. The success of this
process will depend basically on the selection of the proper RCM review team. This team will
have the responsibility of answering the seven basic questions of the RCM, according to the
scheme in Figure 4.
Figure 4. RCM implementation process
Source: Crespo Marquez, A. (2007), The Maintenance Management Framework, Models
and Methods for Complex Systems Maintenance, Springer, London.
People with different functions in the organization will form the RCM review team. This
team will work jointly for a certain period of time in a positive atmosphere, to analyses
common problems with the different departments and with a common goal.
The facilitator plays an important role in this team; his/her basic function consists in guiding
and leading the implementation of the RCM process. The activities that the instructor should
undertake are:
- Guide the review team during the failure modes and effects analysis (FMEA) and
the selection of maintenance activities;
- Help to select the decision level to be used in the failure mode and effects analysis;
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- Help to identify the critical assets that should be analyzed under this methodology;
- Ensure that the work meetings are led in a professional manner;
- Ensure real consensus;
- Motivate the team;
- Ensure that all required information is in place when needed;
- Ensure that results are correctly recorded.
2.2.2 System Selection and Definition of the Operational Context
The selection of the assets, systems or equipment where RCM will be applied can be carried
out using techniques explained in the previous chapters. The correct definition of the
operational context will be a requirement to do this phase properly. Operational context
definition will require certain information to be gathered. A graphical tool that eases the
visualization of the overall operational context is the IPO (InputProcessOutput)
diagram, which can be synthesized and represented as in Figure 5. In Figure 5, insumes are
raw materials or resources to be transformed or converted. The process will be divided into
systems that will have a certain function (or group of functions). Maintenance efforts will be
then concentrated on each one of the systems functions.
Figure 5. Input Process Output diagram (IPO)
Source: Parra, C. and Crespo, A, (2015), Ingeniería de Mantenimiento y Fiabilidad Aplicada
en la Gestión de Activos. Desarrollo y aplicación práctica de un Modelo de Gestión del
Mantenimiento (MGM), Primera Edición. Editado por INGEMAN, Escuela Superior de
Ingenieros Industriales, Universidad de Sevilla, España.
2.2.3 Failure Mode and Effect Criticality Analysis (FMECA)
FMECA is recognized as the most fundamental tool that is used in RCM. Due to its practical
and qualitative approach, it is also the most widely understood and applied form of reliability
and risk analysis found throughout industry. Given a specific process, FMECA deals with
the identification of its failure modes, failure causes and frequencies (reliability), and the
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effects that might result if any specific failure occurs during the process operation (risk).
Based on the information provided by FMECA, design and management personnel are better
informed about the way to determine what can be done in order to avoid or mitigate failure
modes.
The FMECA process is divided into the following four steps:
1. Description of functions;
2. Description of functional failures;
3. Failure modes (failure rate data) definition;
4. Description of failure mode effects and criticality (RPN: Risk priority
number).
2.2.3.1 Describing Functions
Each item or equipment usually has more than one function. They can be divided into five
categories:
- Primary Functions. These are functions required to fulfil the intended purpose of the
item;
- Auxiliary Functions. These are functions that support the primary function;
- Protective and Control Functions. These are functions intended to control a process
and protect people, equipment, or the environment;
- Information Functions. These are related to alarms, and the monitoring of several
conditions;
- Interface Functions. These are functions that apply to the interface between two items.
The interface may be active or passive.
An example of definition of functions for heat exchangers is shown in Table 1.
FMECA
Item: Heat Exchanger without Change of Phase
Class of Function
Function Description
Primary
-Provide correct heat exchange at a desired rate
Auxiliary
-Contain cooling and heating fluids
-Prevent mixing of cooling and heating fluid
Protective and Control
-Prevent damage to heat exchanger and downstream equipment
-Control the process
Information
-Condition monitoring
Interface
- Heat exchanger supports (oil cooler)
Table 1. FMECA example: function description
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2.2.3.2 Defining Functional Failures
A functional failure is defined as the inability of the equipment to keep a desired standard of
performance (function). Functional failures vary in degree of magnitude; for example, a
pump may have no output or may have its output restricted. An example of definition of
functional failures for heat exchangers is shown in Table 2.
FMECA
Item: Heat Exchanger without Change of Phase
Class of Function
Function Description
Functional failure
Primary
Provide correct heat exchange at a
desired rate
Unable to provide any heat /catastrophic
Provide reduced/excessive heat exchange
/degraded
Auxiliary
-Contain cooling and heating fluids
Unable to contain cooling and heating fluids
/ catastrophic
Contain partially cooling and heating fluid
/degraded
-Prevent mixing of cooling and
heating fluids
Unable to prevent mixing of fluids /
catastrophic
Partial mixing of fluids (incipient)
Protective and
control
- Control the process
Unable to control the process
(catastrophic)
-Prevent damage to heat
exchanger and downstream
equipment
Unable to prevent damage to heat
exchanger equipment (catastrophic)
Information
-Condition monitoring
Interface
-None
Table 2. FMECA example: functional failures
2.2.3.3 Definition of the Failure Modes
A failure mode is defined, in RCM as the physical cause of the functional failure. Only failure
modes with a high occurrence possibility are recorded. It is not recommended to list every
single failure possibility. Reasonably likely failure modes include the following:
- Failures which have occurred before on the same or similar assets;
- Failures modes which are already the subject of preventive maintenance routines, and
which would occur if no preventive maintenance is done;
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- Any other failure modes that have not yet occurred, but nevertheless have a real
possibility of occurrence.
Additionally, we need to estimate the mean time to failure (MTTF) for each failure mode.
The MTTF is expressed as the expected mean time to failure expected of a given failure
mode. In this case, the ideal situation is to have valid historical data for the equipment in the
operational context. In most cases, plant-specific data is unavailable or may have a low
reliability level to allow its use without corroborating it. The uncertainties of data selection
can be reduced by learning as much possible about data sets, taxonomy, equipment
boundaries, used equipment type, equipment design and construction, process medium, plant
operation, maintenance programs, and failure modes. OREDA, IEEC, PERD - Std 500-1994,
Reliability Data Book for components in Chemical Process (CCPS), etc., are examples of data
sets that provide details of taxonomy, data origin, treatment, and limitations. An example of
definition of failure modes and MTTF data for heat exchangers is shown in Table 3.
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Class of
Function
Function
Description
Functional failure
Failure Mode
MTTF
Primary
Provide
correct heat
exchange
Unable to provide any heat
/catastrophic
Complete
stoppage of
fluid
--
External
Rupture
--
Provide reduce/excessive
heat exchange /degraded
Partial reduction
in fluid flow
--
Partial external
rupture
48
months
Plugged
--
Auxiliary
-Contain
cooling and
heating
fluids
Unable to contain cooling and
heating fluids / catastrophic
External
rupture
48
months
Contain partially cooling and
heating fluid /degraded
Partial external
rupture
--
-Prevent
mixing of
cooling and
heating
fluids
Unable to prevent mixing of
fluids / catastrophic
Internal rupture
28
months
Mixing partial of fluids
(incipient)
Partial internal
rupture
18
months
Protective and
Control
- Control the
process
Unable to control the process
(catastrophic)
Control system
fail
6 months
-Prevent
damage to
heat
exchanger
Unable to prevent damage to
heat exchanger equipment
(catastrophic)
Structure of
support fail
72
months
Information
Condition
monitoring
Interface
None
Table 3. FMECA example: failure mode
2.2.3.4 The Description of the Failure Modes Effects and Criticality Analysis
The failure effects describe what would happen if the failure mode occurs, and are related to
issues such as downtime, effects on product quality, evidence that the failure has occurred,
and threats to safety and environment. The description of these effects should include all the
information needed to support the evaluation of the consequences of the failure (criticality
analysis). When describing the effects of a failure, the following issues should be recorded:
- Evidence (if any) that the failure has occurred;
- Hidden failures (not evident)
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- Threats (if any) to safety or environment;
- Effects (if any) in production or operations;
- Physical damages (if any) caused by the failure;
- Repairs needed to correct the effects of the failure.
The impact that a failure mode has on the organization depends on the operating context of
the asset, the performance standards, which apply to each function and the physical effects
of each failure mode. This combination of context, standards and effects means that every
failure has a specific set of consequences connected to it.
An example of failure mode effects definition for heat exchangers is shown in Table 4.
FMECA. Item: Heat exchanger without change of phase
Function type
Functional Failure
Failure
MTTF
Effects of failures modes
mode
months
Unable to provide
Pump
--
Total loss of heat
Primary:
any heat
stoppage of
exchange /this failure
/catastrophic
Fluid
has operational
- Provide
consequences
correct heat
External
--
Total loss of heat
exchange at
rupture
exchange/this failure
a desired
could have safety and
rate
environmental
consequences
Provide
Pump partial
--
Partial loss of heat/
reduce/excessive
reduction in
operational
heat exchange
fluid flow
consequences
/degraded
Partial
48
Partial loss of heat/
external
operational
rupture
consequences
Plugged
--
Partial loss of heat /
operational
consequences
Unable to contain
External
48
Major loss of process
Auxiliary:
cooling and heating
rupture
fluid to atmosphere /this
- Contain
fluids / catastrophic
failure could have
cooling and
safety and
heating
environmental
fluids
consequences
Unable to prevent
Internal
28
Major leakage between
Auxiliary:
mixing of fluids /
rupture
media/operational
- Prevent
catastrophic
consequences
mixing of
Mixing partial of
Partial
18
Leakage between
cooling and
fluids / incipient
internal
media/ operational
heating
rupture
consequences
fluids
Table 4. FMECA example: failure effects
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2.2.3.4.1 RCM and the Hidden Failures
Equipment, in most cases, has more than one function. When one of these functions fails and
someone may notice the failure or the fault state of the equipment, failures are said to be
evident. However, in some occasions, no one knows that the equipment is in fault state unless
another failure takes place. The first failure, the one that remained unnoticed until another
took place, was not evident on its own. These are known as hidden failures.
To be able to understand this, suppose you have two pumps in a given operational context.
Pump C (reserve pump) is not available (fault state), this fact shall not be evident under
normal circumstances, since pump B is working under normal operation. In other words, the
fault/failure of pump C shall not have any direct impact on its own unless or until pump B
also fails. Pump C failure will not be evident under normal operating conditions unless other
failures do occur. Notice that failures in pump C will only have some consequence if another
failure in this case in pump B - also takes place. When pump C is in fault state, the failure
in pump B is known as a multiple failure. Regarding this point, the review team must know
that all sole hidden failures will not have any direct consequences; however, they shall have
an indirect consequence increasing the risk level of multiple faults/failures. The only
consequence of a hidden failure is the consequent increase of a multiple failure”.
The appearance of hidden failures, on their own, are not evident, in the normal operation
process; therefore, in order to identify or recognize hidden faults, the RCM review team
should answer the following question:
If the functional failure is caused by a failure mode on its own, is it evident under
normal operation conditions?
If the answer to the question is NO, the failure mode is a hidden failure (not evident), and if
the answer is YES, the mode is evident.
2.2.3.4.2 Risk Priority Number (RPN). Criticality Analysis for failures modes
Risk is the potential impact (positive or negative) to an asset or characteristic of value that
may arise from some present process or from some future event. In everyday usage, "risk" is
often used synonymously with "probability" and restricted to negative risk or threat. Risk
management is the ongoing process of identifying these risks and implementing plans to
address them. Some industries manage risk in a highly-quantified and numerate way. These
include, for instance, the nuclear power and aircraft industries, where the possible failure of
a complex series of engineered systems could result in highly undesirable outcomes (Crespo,
2007, Parra and Crespo, 2012).
Often, the number of assets potentially at risk outweighs the resources available to manage
them. It is therefore extremely important to know where to apply available resources to
mitigate risk in a cost-effective and efficient manner. Risk assessment is the part of the
ongoing risk management process that assigns relative priorities for mitigation plans and
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implementation. In professional risk assessments, risk combines the probability of an event
occurring with the impact that event would cause. The usual measure of RPN for a class of
events is then R = P x C, where P is probability and C is consequence. The total risk is
therefore the sum of the individual class-risks.
Risk assessment techniques can be used to prioritize assets and to align maintenance actions
to business targets at any time. By doing so we ensure that maintenance actions are effective,
that we reduce the indirect maintenance cost, the most important maintenance costs, those
associated to safety, environmental risk, production losses, and ultimately, to customer
dissatisfaction.
The procedure to follow in order to carry out an assets criticality analysis following risk
assessment techniques could be then depicted as follows:
1. Define the purpose and scope of the analysis;
2. Establish the risk factors to take into account and their relative importance;
3. Decide on the number of asset risk criticality levels to establish;
4. Establish the overall procedure for the identification and priorization of the
critical assets.
Risk factors considered in the RPN analysis were: safety, environment affection, operation
downtime, maintenance and direct and indirect cost of operations, failure frequency and
mean time to repair (Crespo, 2007, Parra and Crespo, 2012).
The assessment of RPN for each failure mode considered was
RPN = F x C (1)
Where F is the frequency factor or number of failures in a certain time period (year) and C is
consequence of the failure measured as follows:
C = E x Cr x MTTR (2)
With:
E : Effect on Lane Availability
Cr : Failure Mode Criticality
MTTR: Mean Time to Repair
Concerning the frequency of failures (F), the team decided to establish the classification
and scale in Table 5, to rank the different failures modes.
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Failure
Failures per
Model
frequency (F)
hours
value
Poor
> 1x10^-5
4
Average
< 1x10^-5
3
Good
< 1x10^-7
2
Excellent
< 1x10^-8
1
Table 5. Failure frequency, classification and scale
Regarding the different consequence factors (defining C), they were classified and scaled as
in Tables 6, 7 y 8.
Effect on
Model
Lane
Consequence
scale
Availability (E)
Extremely
Single point of failure (no backup): lane unavailable
5
high
Very high
2nd order failure: If backup also fails: lane unavailable
4
High
Single point of failure (no backup): lane available, but
lockage times increase
3
Low
2nd order failure: If backup also fails: lane available,
but lockage times increase
2
None
No effect
1
Table 6. Effect on Lane Availability, classification and scale
Failure
Model
Mode
Criticality
scale
Criticality (Cr)
High
Yes
4
Low
No
1
Table 7. Failure Mode Criticality, classification and scale
Mean time
MTTR
Model
to repair
hours
value
Poor
> 8
4
Average
< 8
3
Good
< 4
2
Excellent
< 2
1
Table 8. Mean time to repair, classification and scale
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As a result of the above mentioned classification, maximum value of RPN for an failure mode
was set to 320 risk dimensionless units (notice that 320=4x5x4x4 when substituting in
Equations 2 and 1). The team established three levels of assets criticality as in Table 9.
Failure Mode Criticality Level
Adimensional risk value
Value
Extremely Critical
256 ≤ RPN ≤ 320
5
Very Critical
192 ≤ RPN < 256
4
Critical
128 ≤ RPN < 192
3
Low Criticality
64 ≤ RPN < 128
2
Non-Critical
RPN< 64
1
Table 9. RPN Criticality Level for failure mode
In Table 10, presents an example for calculating the RPN. A total of 16 failures modes of the
subsystem are presented already sorted by their priority resulting from their estimated RPN.
A number of 2 failures modes out of 16 were found to be extremely critical, 2 very critical,
6 critical, 2 low criticality and 3 non-critical.
Failure Mode
F
E
Cr
MTTR
C
RPN
PRIORITY
-PUMP 101A
4
5
4
4
80
320
EXTREMELY CRITICAL
-MOTOR 105B
4
4
4
4
64
256
EXTREMELY CRITICAL
-PRES. VALVES
101V
4
3
4
4
48
192
VERY CRITICAL
-SEAL GAS
3
4
4
4
64
192
VERY CRITICAL
COMPRES. 214C
-PRES. VALVES
3
3
4
4
48
144
CRÍTICAL
109V
-MAIN COL. M123
3
4
4
3
48
144
CRÍTICAL
-HEAT
2
4
4
4
64
128
CRÍTICAL
EXCHANGER E23
-SECONDARY
3
3
4
4
48
144
CRÍTICAL
ABSORBER S45
-H2S INHIBITOR
I32
3
3
4
4
48
144
CRÍTICAL
-PRECIPITATOR
P12
4
3
4
3
36
144
CRÍTICAL
-3 STAGE
3
3
4
3
36
108
LOW CRÍTICALITY
SEPARATOR S12
-PUMP BOILER 23
2
3
4
4
48
96
LOW CRÍTICALITY
-PRE-WARMING
2
3
4
4
48
96
LOW CRÍTICALITY
TRAIN WT124
-NAFTA
DESPOILER VALVE
141V
2
3
4
1
12
24
NON-CRITICAL
-ALC. DESPOILER
MOTOR 138V
1
2
1
2
4
6
NON-CRITICAL
-APC DESPOILER
VALVE 176V
1
1
1
2
2
2
NON-CRITICAL
Table 10. Failures modes priority according to their RPN
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2.2.3.5. Selection of Maintenance Activities within RCM
Once the FMECA has been done, the natural RCM equipment should select the maintenance
activity that aides in the appearance of each previously identified failure mode, starting at the
logical decision tree (tool designed by RCM, that permits selection of the most adequate
maintenance activity to prevent the appearance of a fault mode or decease its possible
effects). After the selection of the type of maintained activity from the logical decision tree,
one has to specify the maintenance action to undertake, associated to the selected
maintenance activity, with the respective frequency of execution, keeping in mind that one
of the main objectives of RCM, is preventing or at least reducing possible consequences to
human, environmental and operative security, that may arise from the appearance of different
fault modes (Crespo, 2007). The first step to the selection of maintenance activities, consists
on the identification of the consequences that generate failure modes (see Figure 6).
Figure 6. Consequences of failure modes
Source: Parra, C. and Crespo, A, (2012), Ingeniería de Mantenimiento y Fiabilidad Aplicada
en la Gestión de Activos. Desarrollo y aplicación práctica de un Modelo de Gestión del
Mantenimiento (MGM), Primera Edición. Editado por INGEMAN, Escuela Superior de
Ingenieros Industriales, Universidad de Sevilla, España.
Will the loss of function
caused by this failure
mode on its own become
evident to the operating
crew under normal
circumstances?
Could this failure mode
cause a loss of function
or secondary damage
which could hurt or kill
someone or lead to the
breach of any knwon
environmental standard?
Does this failure mode
have a direct adverse
effect on operational
capability?
Safety & Environmental
Consequences Operational
Consequences Non-operational
consecuences Hidden Failure
noyes
yes
yes
no
no
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2.2.3.5.1 Preventive Activities: Condition Maintenance Tasks
Many preventive maintenance activities can be based on the equipment condition. This is
due to the fact that the equipment conditions do not change instantaneously when the failure
takes place (function loss), but they normally follow a certain continuous deterioration
process during a period of time. A potential failure can then be defined as an identifiable
physical equipment condition that indicates that a functional failure is about to happen, or is
happening, during the process. The moment in time when it is possible to detect the
occurrence of a functional failure, or that a failure is about to occur, is known as the potential
failure time. Common examples of potential failures are:
- Vibration readings indicating imminent bearings failure;
- Existing cracks in metals indicating imminent failure due to fatigue;
- Oil particles in any gearbox, indicating imminent faults due to excessive teeth
wearout;
- Hot spots indicating deterioration/wearing of the isolating material in a boiler, etc.
The behavior over time of the equipment condition is illustrated in Figure 7. This figure
shows how a certain equipment condition that starts to deteriorate (beginning point “I”; often
this point may not be detected); then this condition reaches a point when the failure may be
detected (potential failure point “P”); finally, if the failure is not detected nor corrected the
equipment condition gets to a point where the functional failure takes place (point “F”, where
the equipment does not fulfil the function any longer).
Figure 7. Behavior Curve of potential faults
Source: Parra, C. and Crespo, A, (2015), Ingeniería de Mantenimiento y Fiabilidad Aplicada
en la Gestión de Activos. Desarrollo y aplicación práctica de un Modelo de Gestión del
Mantenimiento (MGM), Primera Edición. Editado por INGEMAN, Escuela Superior de
Ingenieros Industriales, Universidad de Sevilla, España.
Time of operation
Condition
Point where failure
starts to occur Point Where we can find out
that it is failing (potential failure)
P
Point where it has
failed (functional failure)
F
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2.2.3.5.2 Preventive Activities: Scheduled Restoration Tasks (Fixed time)
These are periodical activities carried out to restore a part of an item (system, equipment,
part) to its original condition. Of course the time interval between two consecutive scheduled
actions will be shorter than the operative life limit of the item part to be restored. During this
type of preventive maintenance action, items are taken out of service, unarmed, put aside and
inspected in a general manner, corrected and replaced if necessary, in order to prevent the
appearance of possible failure modes. In case of large equipment or systems, these scheduled
restoration tasks are generally known as “overhauls” and they are common in equipment such
as compressors, turbines, broiler, furnaces, engines, etc. Restoration includes different
actions such as: adjustment, inspection, improvement, cleaning, restoration and even
replacement.
2.2.3.5.3. Preventive Activities: Scheduled Discards Tasks (Fixed time)
This type of preventive activity is oriented towards replacement of components or used parts
of an active, for new ones, at intervals of time shorter than that of their useful life (before
they fail). The programmed discarding activities shall return the component to its original
condition, since the old component shall be replaced with a new one. The difference between
the discarding and the restoration tasks is that the first are applied to components and or parts
of an active and not to complex actives (actives with many components), and then the
undertaking of the programmed discarding is specifically to the replacement of an old
component for a new one. In the case for programmed restoration tasks the actions to be
undertaken may be: adjusting, inspection, improvement, cleaning, restoration and even
exchanging old parts or pieces for new ones.
2.2.3.5.4 Preventive Activities: Failure finding tasks (for hidden fault)
As was defined earlier, the hidden fault modes are no evident under normal operation
conditions, therefore this type of fault does not have direct consequences, but these do
originate appearance of multiple faults in a determined operational context. One of the ways
to reduce the occurrence possibility of hidden faults is to periodically check if a hidden
function is working correctly. These checks are known as revision tasks for hidden faults.
In conclusion, the revision task consist on the checking action of the actives with hidden
functions at regular interval of time, in order to detect if the hidden functions are at normal
operation or at failure stage.
When preventive activities are not technically feasible, or they are ineffective, for a certain
failure mode, corrective activities shall be those that apply. Possible corrective actions can
be as below.
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2.2.3.5.5 Corrective Activities: Redesign
In the case, that one may not finding preventive actions that aide in the reduction of fault
modes that affect security or the environment to an acceptable level, a re-designing is
necessary to minimize or eliminate the consequences of failure modes.
2.2.3.5.6. Corrective Activities: Non Scheduled maintenance (run to failure)
In the that there are no preventive activities that may result least costly than the possible
effects that may arise from the fault modes with safety, environment or operational
consequences (minimal risk), the decision to wait for a failure or act in a corrective manner
may be taken.
An example of maintenance activity definition from the logical decision tree is shown in
Table 11 (failures modes and RPN were taken from Table 10).
Failure Mode
Effects of failures
modes
RPN
RCM
decision tree
Maintenance Activities /
Scheduling Frequency
Pump 101
- Not affect safety
or environment
- Total loss of
pumping, affecting
operations
(unavailability)
320
(extremely
critical)
- Condition Task
1. Vibration Analysis /
15 days
2. Lubrication
Analysis /
3 months
Seal Gas 214C
- Not affect safety
or environment
- Partial loss of
compression,
affecting operations
(unavailability)
192
(very
critical)
- Condition Task
- Discard Task
1. Pressure Analysis /
Daily
2. Replacement /
3 years
Alc. Despoiler
Motor 138v
- Not affect safety
or environment
- Not affect the
operations
6
(non-critical)
-Non scheduled
Task
1. Run to failure
Table 11. Maintenance activity definition from the RCM (logical decision tree)
RCM methodology provides an important decision-making tool to quantify risk and
reliability in terms of the severity of the consequences and the frequency of occurrence (mean
time to failure MTTF). The severity of the consequences will be evaluated by considering
the environment in which the failure mode occurs. To evaluate MTTF of the failure mode,
the analyst must have an understanding of failure mode rates data, their origin and limitations.
By using the results of an FMECA, analysts are better equipped to answer questions such as:
“Which of several candidate systems poses the least risk?” “Are risk reduction modifications
necessary?” and, “Which modifications would be most effective in reducing risk or
increasing reliability?”
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RCMs can be used effectively for several purposes, besides identifying safety or reliability
failure modes and effects. The organizations can use RCM for:
- Preparation of diagnostic routines such as flowcharts or fault-finding tables. FMEA
provides a convenient listing of failure modes, which produce particular failure
effects, or symptoms, and their relative likelihood of occurrence;
- Preparation of preventive maintenance requirements. The effects and mean time to
failures can be considered in relation to the need for scheduled inspection, servicing
or replacement;
- Retention as formal records of the safety and reliability analysis, to be used as
evidence if required in reports to customers or in product safety litigation.
Finally, it is important to coordinate these activities, so that the most effective use can be
made of RMC in all of them, and to ensure that RCM are available at the right time and to
the right people.
3. KPIs (KEY PERFOMANCE INDICATORS) FOR MAINTENANCE
MANAGEMENT
KPIs selection is an important decision making process that may have many potential
implications (Parra and Crespo, 2012, Crespo, 2007, Kaplan and Norton, 1992). For this
report, the KPIs proposed, are related with the three basic technical indicators: Availability,
Reliability and Maintainability (Jardine, 1999). We hereafter shall present the parameters to
be used in the calculation of these indexes, see Figure 8 (it is recommended that these
indicators can be calculated within the software MAXIMO).
Operative time
TTF TBF
TTF
1 f1 f2 fi
TOC
0
TTR
DT Unavailable time
Figure 8: Distribution of Equipment Failures
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Where:
1 = operational condition of the equipment.
0 = non- operational condition of the equipment.
Fi = nth fault/failure.
TTF = time to failure.
TBF = time between failure.
DT = down time between failures.
TTR = time to repair.
TOC = time out of control (difficult estimation time, related to maintenance logistics:
supplier, transportation, delays, lead-time, etc.).
3.1 . RELIABILITY INDICATOR
Reliability may be defined as:
“The probability that a team fulfils a specific mission (no failure) under specific operation
conditions during a specific period”.
Reliability is related to the failure rate (mount of failures) and with the mean time to failure
(MTTF, operative time to failure). Whilst the number of faults of a specific asset is increasing
or while the MTTF decreases, its reliability will be less.
Basic indicator of Reliability: MTTF = mean time to failure.
MTTF = TTF / n (3)
n = number of failures.
3.2 . MAINTAINABILITY INDICATOR
Maintainability may be defines as:
“The possibility for an equipment to be returned to the stage to be able to fulfill the mission
in a given time period, after the appearance of a fault, using pre-established maintenance
procedures”.
The maintainability relates to the design and complexity of the equipment, with the qualifies
personal to undergo the maintenance, with the available tools and the maintanance
procedures. The fundamental parameter to calculate maintainability is constituted by the
mean time to repair (MTTR). When the MTTR for specific equipment is high, the equipment
have a low maintainability (its time to repair shall be reduced). In the contrary, if the mean
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time to repair for specific equipment is low, it is considered that the equipment have a high
maintainability.
Basic indicator of Maintainability: MTTR = mean time to repair.
MTTR = TTR / n (4)
n = number of failures.
3.3 . AVAILABILITY INDICATOR
This term may be expressed in first approximation, as proportion to the time for the
equipment to be ready to be put into action again, in the given conditions, with respect to
the time to fulfill its mission and did not do so. This last period is denominated unavailability
and is obviously, unproductive. The concept of availability may be defines as:
“The possibility for an equipment to be able to fulfill its mission at any given time”
The availability relates the mean downtime (MDT , represents maintainability) and the mean
time to failure (MTTF, represents, reliability).
From the three mentioned indicators, availability constitutes information from the parameter
most represented and useful of the management. Upon calculating availability is easier in
comparison to the calculus of the other two parameters and interrelated to reliability and
maintainability.
We shall now present the way to calculate: Operational Availability (Ao)
Availability (Ao): operational availability takes into account the non-operative time of the
team in a general manner (from the time comes out of service until it is put into action again),
i.e. it includes the delay (but does not estimate nor quantifies) which bring about the logistic
of the maintenance (purchase of parts, transportation, unspecified idleness, etc.). The
equation to calculate operational availability (Ao) is:
100% x
MDT + MTTF
MTTF
A = o
(5)
Where,
n: number of failures
MTTF: mean time to failure
MDT: mean downtime
MTOC: mean time out control
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MDT = MTTR + MTOC (6)
MDT = DT / n (7)
MTTR = TTR / n (4)
MTOC = TOC / n (8)
MTTF = TTF / n (3)
3.4 . EXAMPLE OF CALCULATION: RELIABILITY,
MAINTAINABILITY AND AVAILABILITY
Given the following failure distribution (Figure 9) of the equipment X, for a period
of 53 hours, calculate:
- Reliability: MTTF
- Maintainability: MTTTR and MDT
- Availability: Ao
Figure 9. Failure distribution of equipment X in an operation time of 53 hours
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a) to calculate MTTF (reliability), apply equation 3:
MTTF = (7 + 6 + 5 + 7+ 8+ 7) / 6 = 40/6 = 6.66 hours
b) to calculate MTTR y MDT (maintainability), apply equations 4 and 8:
MTTR = (1 + 1 + 2 + 1+ 0.5+ 1) / 6 = 40/6 = 1.08 hours
MDT = (2 + 2 + 3 +3 +1+2) / 6 = 13/ 6 = 2.16 hours
a) to calculate availability, apply equation 5:
MTTF = (7 + 6 + 5 + 7+ 8+ 7) / 6 = 40/6 = 6.66 hours
MDT = (2 + 2 + 3 +3 +1+2) / 6 = 13/ 6 = 2.16 hours
Ao = (40/6) / ((40/6) + (13/6)) =
Ao = 40 / (40 + 13) = 40 / 53 =
Ao = 0.754 = 75.4 % availability of the equipment X in a period of 53 hours.
The KPIs plays an important role in the efficiency of the maintenance organization (Jardine,
1999). Generally, equipment records are classified under four categories: inventory,
maintenance cost, files, and maintenance work performed. KPIs are used in various areas
including troubleshooting breakdowns, investigating incidents, procuring new equipment to
determine operating performance trends, performing life cycle cost and design studies,
conducting replacement and modification studies, and conducting reliability and
maintainability studies. Progressive maintenance organizations measure their performance
on a regular basis through various means. KPIs analyses play an important role in
maintenance organization efficiency and are useful in revealing equipment downtime,
peculiarities in operational behavior of the organization, and so on. Finally, maintenance
management must ensure calculate the three KPIs shown in this section, in order to minimize
uncertainty in the process of decision making in the areas of: reliability, maintainability and
availability.
4. GENERAL RECOMMENDATIONS FOR MAINTENANCE AND
RELIABILITY MANAGEMENT
This section presents some general recommendations to MWH Global for optimizing the
processes in the areas of Maintenance and Reliability Management within the project: Design
and Construction of the Third Set of Locks in the ACP (AUTORIDAD DEL CANAL DE
PANAMÁ). The following key aspects to consider in this project are shown below (Peters,
2006 and Crespo, 2007):
- View maintenance as a priority and as an internal business opportunity. The process
of performing maintenance and managing physical assets must be recognized as a top
priority. It must also be viewed as an internal business and not as a necessary evil. It
will be viewed as an area that contributes directly to the bottom line when a profit-
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and customer-centered strategy and continuous maintenance improvement are
adopted.
- Develop leadership and technical understanding. Maintenance leaders must
understand the challenges of maintenance and provide effective maintenance
leadership to operate maintenance as an internal business. Maintenance leadership
must continually develop the skills, abilities, and attitudes to lead maintenance into
the future.
- Develop pride in maintenance. Maintenance operations will experience fundamental
improvements in work ethic, attitude, values, job performance, and customer service
to achieve real pride in maintenance excellence. Tangible savings and improvements
will occur as a result of continuous maintenance improvement.
- Recognize importance of the maintenance and reliability profession. The profession
of maintenance and reliability will gain greater importance as a key profession for
success within all types of organizations as the role of the chief maintenance officer
(CMO) becomes well established. Maintenance and Reliability leaders will be
recognized as critical resources that are absolutely necessary for the success of the
total operation.
- Increase core competencies of your maintenance personnel. A significant upgrade in
the level of personnel involved with maintenance will take place to keep pace with
new technologies and responsibilities. Maintenance operations will achieve a
significant upgrade in the skill level of maintenance craftspeople in order to keep pace
with new technology and responsibilities.
- Establish effective maintenance planning, estimating and scheduling. Maintaining
customer satisfaction and the utilization of available craft time will improve through
more effective planning and scheduling systems. The development of more effective
planning and scheduling systems will be a top priority for a profit- and customer
centered strategy. As reductions in breakdown repairs occur through more effective
preventive/predictive maintenance, the opportunity to increase planned maintenance
work will result.
- Develop pride in ownership. Equipment operators and maintenance will develop a
partnership for maintenance service and prevention and take greater pride in
ownership through operator-based maintenance. Equipment operators will assume
greater responsibility for cleaning, lubricating, inspecting, monitoring, and making
minor repairs to equipment. Maintenance will provide training support to operators
to achieve this transfer of responsibility and to help operators with early detection and
prevention of maintenance problems. Operators will develop greater pride in
ownership of their equipment with their expanded responsibilities.
- Improve equipment effectiveness. A leadership-driven, team-based approach will be
used by maintenance and manufacturing operations to totally evaluate and
subsequently improve all factors related to equipment effectiveness. The goal is
maximum availability of the asset for performing its primary function.
- Maintenance and engineering: a partnership for profitable technology application.
Maintenance and engineering will work closely during systems specification,
installation, start-up, and operation to provide maintenance with the technical depth
required for maintaining all assets and systems. Engineering will provide technical
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resources and support to ensure that maintenance has the total technical capability to
maintain all equipment and systems.
- Continuously improve reliability and maintainability. Machines and systems will be
specified, designed, retrofitted, and installed with greater reliability and ease of
maintainability. Equipment design will focus on maintainability and reliability and
not primarily on performance. Design for maintainability will become an accepted
philosophy that fully recognizes the high cost of maintenance in the life-cycle cost of
equipment. The causes for high life-cycle costs will be reduced through the
application of good maintainability and reliability principles during design.
- Manage life-cycle cost and obsolescence. The life-cycle costs of physical assets and
systems will be closely monitored, evaluated, and managed to reduce total costs. A
profit- and customer-centered strategy will achieve significant reductions in total life-
cycle costs through an effective design process prior to purchase and installation.
During the equipment’s operating life, systems will be developed to continually
monitor equipment costs. Information to identify trends will be available to highlight
equipment with high maintenance costs.
- Minimize uncertainty and eliminate root causes. Uncertainty will be minimized
through effective preventive/predictive maintenance programs and through
continuous application of reliability-centered maintenance techniques and continuous
monitoring systems. Effective preventive/predictive maintenance programs will be
used to anticipate and predict maintenance problems in order to eliminate the
uncertainty of expected breakdowns and high repair costs. Preventive/predictive
maintenance tasks will be adequately planned based upon criticality of failure and
will cover all major assets within the operation.
- Maximize use of computerized maintenance management and enterprise asset
management. Systems that support the total maintenance operation will improve the
quality of maintenance and physical asset management and be integrated with the
overall business system of the organization. Computerized maintenance management
systems (CMMS) will provide greater levels of manageability to maintenance
operations. CMMS will cover the total scope of the maintenance operation providing
the means to improve the overall quality of maintenance management. Enterprise
asset management (EAM) will provide a broader scope of integrated software to
manage physical assets, human resources, and parts inventory in an integrated system
for maintenance management, maintenance, procurement, inventory management,
human resources, work management, asset performance, and process monitoring.
- Use maintenance information to manage the business of maintenance. The
maintenance information system and database will encompass the total maintenance
function and provide real-time information to improve maintenance management.
The implementation of CMMS and EAM provides the opportunity for improved
maintenance information systems. With CMMS and EAM, the maintenance
information system can be developed and tailored to support maintenance as a true
“business operation.”
- Ensure an effective maintenance storeroom operation. The maintenance storeroom
will be orderly, space efficient, labor efficient, responsive, and provide the effective
cornerstone for maintenance excellence. The maintenance storeroom for maintenance
repair operations (MRO) items will be recognized as an integral part of a successful
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maintenance operation. Initial storeroom design or modernization will include
effective planning for space, equipment, and personnel needs while providing a
layout that ensures efficient inventory control and includes maximum loss control
measures. It will be professionally managed and maintained in a clean, orderly, and
efficient manner.
- Establish a safe and productive working environment. Successful maintenance
operations will be safe, clean, and orderly because good housekeeping is an indicator
of maintenance excellence. Maintenance leaders will provide a working environment
where safety is a top priority, which in turn allows maintenance to set the example
throughout the organization. Good housekeeping practices in maintenance will
provide the basic foundation for safety awareness. Maintenance will provide support
throughout the organization to ensure that all work areas are safe, clean, and orderly.
- Aggressive support compliance to environmental, health, and safety requirements.
Maintenance must provide proactive leadership and support to regulatory compliance
actions. Maintenance leaders must maintain the technical knowledge and experience
to support compliance with all state and federal regulations. The issue of indoor air
quality must receive constant attention to eliminate potential problems. Maintenance
must work closely with other staff groups in the organization such as quality and
safety to provide a totally integrated and mutually supportive approach to regulatory
compliance.
- Continuously evaluate, measure, and improve maintenance performance and service.
Broad-based measures of maintenance performance and customer service will
provide a continuous evaluation of the value of maintenance. CMMS will allow for a
broad range of measurement for maintenance performance and service. Investment in
best maintenance practices will require valid return on investment. Projected savings
will be established and results will be validated. Measures will be developed in areas
such as labor performance/utilization, compliance to planned repair and
preventive/predictive maintenance schedules, current backlog levels, emergency
repair hours, storeroom performance, asset uptime, and availability.
5. REFERENCES
Campbell, J.D. and Jardine, A.K.S. (2001), Maintenance Excellence, Marcel Dekker, New
York, NY.
CEN (2001), Maintenance Terminology. European Standard, EN 13306:2001, European
Committee for Standardization, Brussels.
Crespo Marquez, A. (2007), The Maintenance Management Framework, Models and
Methods for Complex Systems Maintenance, Springer, London.
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Duffuaa, S.O. (2000), “Mathematical models in maintenance planning and scheduling”, in
Ben-Daya, M., Duffuaa, S.O. and Raouf, A. (Eds), Maintenance, Modelling and
Optimization, Kluwer Academic Publishers, Boston, MA.
Gelders, L., Mannaerts, P. and Maes, J. (1994), “Manufacturing strategy, performance
indicators and improvement programmes”, International Journal of Production Research,
Vol. 32 No. 4, pp. 797-805.
Kaplan, R.S. and Norton, D.P. (1992), “The balanced scorecard measures that drive
performance”, Harvard Business Review, Vol. 70 No. 1, pp. 71-9.
Jardine A, 1999. Measuring maintenance performance: a holistic approach. International
Journal of Operations and Production Management, 19(7):691-715.
Lee, J. (2003), “E-manufacturing: fundamental, tools, and transformation”, Robotics and
Computer-Integrated Manufacturing, Vol. 19 No. 6, pp. 501-7.
Moubray, J. (1997), Reliability-centred Maintenance, 2nd ed., Butterworth-Heinemann,
Oxford.
Palmer, R.D. (1999), Maintenance Planning and Scheduling, McGraw-Hill, New York, NY.
Kaplan RS, Norton DP, 1992. The Balanced Scorecard - measures that drive performance.
Harvard Business Review, 70(1): 71-9.
Parra, C. and Crespo, A, (2012), Ingeniería de Mantenimiento y Fiabilidad Aplicada en la
Gestión de Activos. Desarrollo y aplicación práctica de un Modelo de Gestión del
Mantenimiento (MGM), Primera Edición. Editado por INGEMAN, Escuela Superior de
Ingenieros Industriales, Universidad de Sevilla, España.
Pintelon, L.M. and Gelders, L.F. (1992), Maintenance management decision making”,
European Journal of Operational Research, Vol. 58, pp. 301-17.
Peters, R. A (2006), Maintenance Benchmarking and Best Practices, First Edition, McGraw-
Hill,, New York, NY.
Prasad Mishra, R., Anand, D. and Kodali, R. (2006), “Development of a framework for
world-class maintenance systems”, Journal of Advanced Manufacturing Systems, Vol. 5 No.
2, pp. 141-65.
Tsang, A., Jardine, A. and Kolodny, H. (1999), “Measuring maintenance performance: a
holistic approach”, International Journal of Operations & Production Management, Vol. 19
No. 7, pp. 691-715.
Vagliasindi, F. (1989), Gestire la manutenzione. Perche e come, Franco Angeli, Milan.
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Vanneste, S.G. and van Wassenhove, L.N. (1995), “An integrated and structured approach
to improve maintenance”, European Journal of Operational Research, Vol. 82, pp. 241-57.
Wireman, T. (1998), Developing Performance Indicators For Managing Maintenance,
Industrial Press, New York, NY.
ISO 55000: 2014, Asset management Overview, principles and terminology
ISO 55001: 2014, Asset management Management systems Requirements
ISO 55002: 2014, Asset management Management systems Guidelines on the
application of ISO 55001
EFNMS, (2006). The requirements of Competencies and Responsibilities for an European
Specialist in Maintenance Supervision.
BSI PAS 55, 2008. Publicly Available Specification, London.
Author: Carlos A. Parra M.
Email: parrac@ingecon.net.in
www.linkedin.com/in/carlos-parra-6808201b
Grupo de investigación en Ingeniería de Confiabilidad y Mantenimiento
https://ingeman.net/?op=profesores
http://www.ingeman.net/
www.confiabilidadoperacional.com
ResearchGate has not been able to resolve any citations for this publication.
Book
The Maintenance Management Framework describes and reviews the concept, process and framework of modern maintenance management of complex systems; concentrating specifically on modern modelling tools (deterministic and empirical) for maintenance planning and scheduling. It presents a new perspective of maintenance management by: • focusing on the course of maintenance actions; • presenting a structure that ensures proper support for current maintenance managers; • clarifying the functionality that is required from information technology when applied to maintenance and the functions of modern maintenance engineering; and • creating a set of practical models for maintenance management planning and scheduling. The discussion of all of these issues is supported through the use of case studies. The Maintenance Management Framework will be beneficial for engineers and professionals involved in: maintenance management, maintenance engineering, operations management, quality, etc. It will also be of interest to graduate students and researchers in this field. Dr Adolfo Crespo Márquez is an Associate Professor in the Department of Industrial Management, School of Engineering at the University of Seville. Within the area of maintenance, he has extensively participated in many engineering and consulting projects for numerous companies and for the Spanish Ministry of Science and Education.
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Executives know that a company's measurement systems strongly affect employee behaviors. But the traditional financial performance measures that worked for the industrial era are out of sync with the skills organizations are trying to master. Frustrated by these inadequacies, some managers have abandoned financial measures like return on equity and earnings per share. "Make operational improvements, and the numbers will follow,"the argument goes. But managers want a balanced presentation of measures that will allow them to view the company from several perspectives at once. In this classic article from 1992, authors Robert Kaplan and David Norton propose an innovative solution. During a yearlong research project with 12 companies at the leading edge of performance management, the authors developed a "balanced scorecard;" a new performance measurement system that gives top managers a fast but comprehensive view of their business. The balanced scorecard includes financial measures that tell the results of actions already taken. And it complements those financial measures with three sets of operational measures related to customer satisfaction, internal processes, and the organization's ability to learn and improve-the activities that drive future financial performance. The balanced scorecard helps managers look at their businesses from four essential perspectives and answer Some important questions. First, How do customers see us? Second, What must we excel at? Third, Can we continue to improve and create value? And fourth, How do we appear to shareholders? By looking at all of these parameters, managers can determine whether improvements in one area have come at the expense of another. Armed with that knowledge, the authors say, executives can glean a complete picture of where the company stands-and where it's headed.
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This chapter presents various advanced mathematical models in the area of maintenance planning and scheduling (MPS) that have high potential of being applied to improve maintenance operations. First, MPS is classified based on function and horizon. The classes resulted include maintenance capacity planning, resource allocation,and maintenance job scheduling. Each class requires a model that captures its characteristics. The models presented in this chapter are based on linear, nonlinear and stochastic programming. Models limitations as well as direction for further research are outlined in the chapter.
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A world-class maintenance system (WMS) refers to the best practices in maintenance that are followed and adopted by various organizations to transform themselves to be a 'world-class manufacturer'. One of the important factors in developing a 'world-class' maintenance system within an organization is the adoption of a sound framework that provides the necessary conceptual and theoretical details of best practices to be followed, to reach the world-class status. Several authors, consultants and large organizations have proposed different frameworks representing the best practices in maintenance, which seem to have been developed and derived primarily from the context and experience of such large organizations and consultants respectively. A comparative study revealed that most of the frameworks are unique and proposes several unique best practices in maintenance. Hence, in this paper, an attempt has been made to identify such best practices from the existing frameworks and integrate these practices to develop and propose a new framework for world-class maintenance systems.
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This article reports on a survey conducted in Belgian industry. The purpose was to get insight into manufacturing objectives, performance measurement systems and improvement programmes. It turns out that quality is dealt with very consistently. But in many cases time-based objectives are not yet supported by consistent time-based performance criteria and/or time-based improvement actions.
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Performance measures should be linked to an organization’s strategy in order to provide useful information for making effective decisions and shaping desirable employee behaviour. The pitfalls relating to the indiscriminate use of common maintenance performance indicators are discussed in this paper. It also reviews four approaches to maintenance performance measures. The value-based performance measure evaluates the impact of maintenance activities on the future value of the organization. The Balanced Scorecard (BSC) provides a framework for translating strategy into operational measures that collectively capture the critical requirements for sustaining the organization’s success. System audits are the tool for measuring organizational culture, which in turn determines the appropriate approach to the organization of maintenance functions. The operational efficiency of an organization’s maintenance function can be benchmarked with those of its counterparts in other organizations by using Data Envelopment Analysis (DEA). Among these approaches, the one which builds on the BSC embraces the design principles of a good performance measurement system. To smooth the adoption of the BSC approach to managing maintenance operations, a related research agenda is proposed in the concluding section.
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Manufacturing industry worldwide has been facing unprecedented challenges brought by ever changing, global and competitive market conditions as well as changing social demands, regional, governmental and environmental regulations. E-commerce and Internet technologies injected “velocity” into the front business activities and enabled companies to shift their manufacturing operations from the traditional factory integration philosophy to a supply chain-based e-factory philosophy. It transforms companies from a local factory focus to a global enterprise and business focus.This paper introduces e-manufacturing as a new concept to answer the aforementioned needs of business strategies for complete integration of all business elements including suppliers, customer service network and manufacturing units by leveraging the Internet, web-enabling, tether-free technologies and computational tools. Enabling tools will be introduced to support e-manufacturing includes the ability to monitor the plant floor assets, and predict the variation and performance loss for dynamic rescheduling of production and maintenance operations, and synchronize with other related business actions to achieve a complete integration between manufacturing systems and upper-level enterprise applications. Finally, infotronics technologies for next-generation e-manufacturing transformation are discussed.
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Maintenance management of industrial equipment is an important but still relatively neglected business function. This paper identifies and discusses the most important elements of its decision making environment. As such the paper contributes to the structuring of the maintenance management area and it provides a frame of reference for further research in maintenance policy optimization. The paper starts with a brief description of maintenance management in a business context. In the remainder of the paper three parts may be distinguished. The first addresses the system design aspects of maintenance management in the broader operations management environment, the second examines the most important issues in maintenance decision making and the last part reviews the managerial tools available for decision making in this area. An extensive list of references is provided.
Ingeniería de Mantenimiento y Fiabilidad Aplicada en la Gestión de Activos. Desarrollo y aplicación práctica de un Modelo de Gestión del Mantenimiento (MGM), Primera Edición. Editado por INGEMAN, Escuela Superior de Ingenieros Industriales
  • C Parra
  • A Crespo
Parra, C. and Crespo, A, (2012), Ingeniería de Mantenimiento y Fiabilidad Aplicada en la Gestión de Activos. Desarrollo y aplicación práctica de un Modelo de Gestión del Mantenimiento (MGM), Primera Edición. Editado por INGEMAN, Escuela Superior de Ingenieros Industriales, Universidad de Sevilla, España.
Gestire la manutenzione
  • F Vagliasindi
Vagliasindi, F. (1989), Gestire la manutenzione. Perche e come, Franco Angeli, Milan.