1st Edition

Asset Maintenance Engineering Methodologies




ISBN 9781138035898
Published May 1, 2018 by CRC Press
322 Pages 80 Color & 60 B/W Illustrations

USD $180.00

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Book Description

The book aims to be reading for asset maintenance management in a perspective of whole life cycle of any type of physical asset. It deals with acquisition management, including econometric models to evaluate its life cycle, and the maintenance policies to adopt during its life until withdrawal. It also covers vital areas such as EAM/CMMS systems and its integration with the many technologies that are used to aid condition monitoring and the internet of things to improve maintenance management and to increase equipment availability. This will equip readers with new management methodologies, their requisites, and its importance to the improvement of corporate competitiveness.

Key Features

• Presents life cycle analysis in asset management

• Attribution of tools to improve the life cycle of equipment

• Provides assistance on the diagnosis of the maintenance state

• Presentation of the state-of-the-art of technology to aid maintenance

• Explores integration of EAM/CMMS systems with internet of things

Table of Contents

Chapter 1 – Introduction

1.1 Background
1.2 Book structure

Chapter 2 - Terology Activity

2.1 Background
2.2 Concept of Terology vs Maintenance
2.3 Terology as a multidisciplinary issue
2.4 Terology and the environment
2.5 Related concepts

Chapter 3 - Physical Assets Acquisition and Withdrawal

3.1 Background
3.2 Purchase of physical assets
3.3 Maintenance of physical assets
3.4 Resources and budgeting
3.5 Econometric models
3.6 Life Cycle Costing
3.7 Withdrawal
3.8 Methods for replacing assets
3.9 Case study

Chapter 4 - Diagnosis of Maintenance State

4.1 Background
4.2 Holistic Diagnosis Model
4.3 Questionnaires
4.4 The Explanation Sheets
4.5 Organization and analysis of information collected
4.6 Elimination criteria
4.7 Elimination Grid
4.8 Establishment of an improvement action plan
4.9 Case Study

Chapter 5 – Maintenance Management

5.1 Background
5.2 Maintenance planning
5.3 Maintenance control
5.4 Maintenance resources
5.5 Maintenance budget
5.6 The Strategic Asset Management Plan
5.7 Case Study

 

Chapter 6 – Maintenance Resources

6.1 Background
6.2 Human Resources
6.3 Spare Parts
6.4 Tools
6.5 Case Study

Chapter 7 - Integrated Systems for Maintenance Management

7.1 Background
7.2 Software and hardware options
7.3 Structure of information systems for maintenance
7.4 A CMMS/EAM example

Chapter 8 – Expert Systems for Fault Diagnosis

8.1 Background
8.2 Profile of an ES for Fault Diagnosis
8.3 Rule-based Expert Systems
8.4 Case Based Reasoning
8.5 Bayesian Models
8.6 Data Mining
8.7 Performance Measures
8.8 Usability and system interfaces
8.9 Expert System example

Chapter 9 – Maintenance 4.0

9.1 Background
9.2 Big Data
9.3 Internet of things
9.4 Sensorization and data communications
9.5 Hardware and software options

Chapter 10 - Forecasting

10.1 Background
10.2 Time Series Forecasting
10.3 Neural networks
10.4 Discrete Systems Simulation
10.5 Support Vector Machine
10.6 Other prediction techniques
10.7 A Case Study

Chapter 11 – Maintenance Logistics

11.1 Background
11.2 Warehouse management systems and inventories
11.3 Basic identification tools
11.4 Transport systems
11.5 Route planning
11.6 Tools to aid logistics

11.7 A Case Study

Chapter 12 – Condition Monitoring

12.1 Background
12.2 Techniques for condition monitoring
12.3 Types of sensors
12.4 Data acquisition
12.5 On-condition on-line
12.6 On-condition with delay
12.7 Technology for on-line condition monitoring
12.8 Technology for offline condition monitoring
12.9 Augmented Reality to aid condition maintenance
12.10 Holography
12.11 A Case Study

Chapter 13 – Dynamic Modelling

13.1 Background
13.2 Fault Trees
13.3 Markov chains
13.3.1 Main description of the method
13.4 Hidden Markov Models
13.5 Petri networks
13.6 A Case Study

Chapter 14 - 3D Systems

14.1 Background
14.2 3D models for maintenance
14.3 3D models and maintenance planning
14.4 3D models and fault diagnosis
14.5 3D models and the robots
14.6 Software tools
14.7 A Case Study

Chapter 15 – Reliability

15.1 Background
15.2 Reliability concept
15.3 Reliability analysis
15.4 FMEA / FMECA
15.5 RAMS
15.6 A Case Study

 

Chapter 16 – Management Methodologies

16.1 Background
16.2 5S
16.3 Lean Maintenance
16.4 A3 method
16.5 GUT matrix
16.6 6 Sigma
16.7 PDCA
16.8 Ishikawa diagram
16.9 Brainstorming
16.10 SWOT analysis
16.11 Hoshin Kanri
16.12 A Case Study

Chapter 17 – Maintenance Standards

17.1 Background
17.2 NP 4492 Maintenance Services Series
17.3 IEC 60300 Dependability Series
17.4 IEC 60812 FMEA
17.5 IEC 62278 / EN 50126 RAMS
17.6 Other standards

Chapter 18 – Maintenance Projects Managing

18.1 Background
18.2 PERT
18.3 CPM
18.4 PERT-CPM Networks
18.5 Other methodologies
18.6 Case study

Chapter 19 – Maintenance Training

19.1 Background
19.2 E/B-Learning
19.3 Intelligent Learning Systems
19.4 Learning through 3D models
19.5 Learning through the use of sensors
19.6 Learning through Virtual Reality
19.7 Learning through Augmented Reality

Chapter 20 – Terology Behind Tomorrow

 

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Author(s)

Biography

José Manuel Torres Farinha is Auditor of National Defence, by the Institute of National Defence. Coordinator Professor of Mechanical Engineering Area, at Instituto Superior de Engenharia, Coimbra Polytechnic, Portugal.Coordinator of the MSc in Industrial Engineering and Management at Instituto Superior de Engenharia, Coimbra Polytechnic, Portugal.

 

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Professor Coordinator Principal, ISEC
Coimbra

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