Asset maintenance engineering methodologies
Book information
Description
"The book discusses acquisition management, including econometric models to evaluate life cycle, and the maintenance policies of an asset, to adopt during its life until withdrawal. It also covers vital areas such as EAM/CMMS systems and its integration with the many technologies and the internet of things."--Provided by publisher. Abstract: "The book discusses acquisition management, including econometric models to evaluate life cycle, and the maintenance policies of an asset, to adopt during its life until withdrawal. It also covers vital areas such as EAM/CMMS systems and its integration with the many technologies and the internet of things-- Read more... Content: Chapter 1 - Introduction1.1 Background1.2 Book structureChapter 2 - Terology Activity2.1 Background2.2 Concept of Terology vs Maintenance2.3 Terology as a multidisciplinary issue2.4 Terology and the environment2.5 Related conceptsChapter 3 - Physical Assets Acquisition and Withdrawal3.1 Background3.2 Purchase 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 studyChapter 4 - Diagnosis of Maintenance State4.1 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 StudyChapter 5 - Maintenance Management5.1 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 Resources6.1 Background6.2 Human Resources6.3 Spare Parts6.4 Tools6.5 Case StudyChapter 7 - Integrated Systems for Maintenance Management7.1 Background7.2 Software and hardware options7.3 Structure of information systems for maintenance7.4 A CMMS/EAM exampleChapter 8 - Expert Systems for Fault Diagnosis8.1 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 exampleChapter 9 - Maintenance 4.09.1 Background9.2 Big Data9.3 Internet of things9.4 Sensorization and data communications9.5 Hardware and software optionsChapter 10 - Forecasting10.1 Background10.2 Time Series Forecasting10.3 Neural networks10.4 Discrete Systems Simulation10.5 Support Vector Machine10.6 Other prediction techniques10.7 A Case StudyChapter 11 - Maintenance Logistics11.1 Background11.2 Warehouse management systems and inventories11.3 Basic identification tools11.4 Transport systems11.5 Route planning11.6 Tools to aid logistics11.7 A Case StudyChapter 12 - Condition Monitoring12.1 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 StudyChapter 13 - Dynamic Modelling13.1 Background13.2 Fault Trees13.3 Markov chains13.3.1 Main description of the method13.4 Hidden Markov Models13.5 Petri networks13.6 A Case StudyChapter 14 - 3D Systems14.1 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 StudyChapter 15 - Reliability15.1 Background15.2 Reliability concept15.3 Reliability analysis15.4 FMEA / FMECA15.5 RAMS15.6 A Case Study Chapter 16 - Management Methodologies16.1 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 StudyChapter 17 - Maintenance Standards17.1 Background17.2 NP 4492 Maintenance Services Series17.3 IEC 60300 Dependability Series17.4 IEC 60812 FMEA17.5 IEC 62278 / EN 50126 RAMS17.6 Other standardsChapter 18 - Maintenance Projects Managing18.1 Background18.2 PERT18.3 CPM18.4 PERT-CPM Networks18.5 Other methodologies18.6 Case studyChapter 19 - Maintenance Training19.1 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 RealityChapter 20 - Terology Behind Tomorrow
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