Farinha Asset Maintenance Engineering Methodologies

Erscheinungsjahr 2018
ISBN: 978-1-351-86932-4
Verlag: Taylor & Francis
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 336 Seiten

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

Autoren/Hrsg.

Farinha, José Manuel Torres

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Industrielle Qualitätskontrolle
• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Technische Wissenschaften Technik Allgemein Industrial Engineering

Inhaltsverzeichnis

Chapter 1 – Introduction
1.1Background1.2Book structure
Chapter 2 - Terology Activity
2.1 Background2.2Concept of Terology vs Maintenance2.3Terology as a multidisciplinary issue2.4Terology and the environment2.5Related concepts
Chapter 3 - Physical Assets Acquisition and Withdrawal
3.1 Background3.2Purchase of physical assets3.3 Maintenance of physical assets3.4 Resources and budgeting3.5 Econometric models3.6 Life Cycle Costing3.7 Withdrawal3.8 Methods for replacing assets3.9 Case study
Chapter 4 - Diagnosis of Maintenance State
4.1 Background4.2 Holistic Diagnosis Model4.3 Questionnaires4.4 The Explanation Sheets4.5 Organization and analysis of information collected4.6 Elimination criteria4.7 Elimination Grid4.8 Establishment of an improvement action plan4.9 Case Study
Chapter 5 – Maintenance Management
5.1 Background5.2 Maintenance planning5.3 Maintenance control5.4 Maintenance resources5.5 Maintenance budget5.6 The Strategic Asset Management Plan5.7 Case Study

Chapter 6 – Maintenance Resources
6.1 Background6.2 Human Resources6.3 Spare Parts6.4 Tools6.5 Case Study
Chapter 7 - Integrated Systems for Maintenance Management
7.1 Background7.2 Software and hardware options7.3 Structure of information systems for maintenance7.4 A CMMS/EAM example
Chapter 8 – Expert Systems for Fault Diagnosis
8.1 Background8.2 Profile of an ES for Fault Diagnosis8.3 Rule-based Expert Systems8.4 Case Based Reasoning 8.5 Bayesian Models8.6 Data Mining8.7 Performance Measures8.8 Usability and system interfaces8.9 Expert System example
Chapter 9 – Maintenance 4.0
9.1 Background9.2 Big Data9.3 Internet of things9.4 Sensorization and data communications9.5 Hardware and software options
Chapter 10 - Forecasting
10.1 Background10.2 Time Series Forecasting10.3 Neural networks10.4 Discrete Systems Simulation10.5 Support Vector Machine10.6 Other prediction techniques10.7 A Case Study
Chapter 11 – Maintenance Logistics
11.1 Background11.2 Warehouse management systems and inventories11.3 Basic identification tools11.4 Transport systems11.5 Route planning11.6 Tools to aid logistics
11.7 A Case Study
Chapter 12 – Condition Monitoring
12.1 Background12.2 Techniques for condition monitoring12.3 Types of sensors12.4 Data acquisition12.5 On-condition on-line12.6 On-condition with delay12.7 Technology for on-line condition monitoring12.8 Technology for offline condition monitoring12.9 Augmented Reality to aid condition maintenance12.10 Holography12.11 A Case Study
Chapter 13 – Dynamic Modelling
13.1 Background13.2 Fault Trees13.3 Markov chains13.3.1 Main description of the method13.4 Hidden Markov Models13.5 Petri networks13.6 A Case Study
Chapter 14 - 3D Systems
14.1 Background14.2 3D models for maintenance14.3 3D models and maintenance planning14.4 3D models and fault diagnosis14.5 3D models and the robots14.6 Software tools14.7 A Case Study
Chapter 15 – Reliability
15.1 Background15.2 Reliability concept15.3 Reliability analysis15.4 FMEA / FMECA15.5 RAMS15.6 A Case Study

Chapter 16 – Management Methodologies
16.1 Background16.2 5S16.3 Lean Maintenance16.4 A3 method16.5 GUT matrix16.6 6 Sigma16.7 PDCA16.8 Ishikawa diagram16.9 Brainstorming16.10 SWOT analysis16.11 Hoshin Kanri16.12 A Case Study
Chapter 17 – Maintenance Standards
17.1 Background17.2 NP 4492 Maintenance Services Series17.3 IEC 60300 Dependability Series17.4 IEC 60812 FMEA17.5 IEC 62278 / EN 50126 RAMS17.6 Other standards
Chapter 18 – Maintenance Projects Managing
18.1 Background18.2 PERT18.3 CPM18.4 PERT-CPM Networks18.5 Other methodologies18.6 Case study
Chapter 19 – Maintenance Training
19.1 Background19.2 E/B-Learning19.3 Intelligent Learning Systems19.4 Learning through 3D models19.5 Learning through the use of sensors19.6 Learning through Virtual Reality19.7 Learning through Augmented Reality
Chapter 20 – Terology Behind Tomorrow

Über Autor(innen)

José Manuel Torres Farinhais 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.

.