Buch, Englisch, Band 3, 230 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 535 g
Buch, Englisch, Band 3, 230 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 535 g
Reihe: Engineering Asset Management Review
ISBN: 978-3-031-52390-8
Verlag: Springer Nature Switzerland
This book discusses asset life-cycle management, especially, human dimensions on the management of infrastructure and industry-sector assets.
The book explores advances decision support systems based on the applications of Fourth Industrial Revolution (4IR) technologies such as augmented reality (AR) and virtual reality (VR), machine learning, and digital twinning for monitoring, diagnostics, prognostics. It includes methodologies and cases applied to different operational contexts.
The book also considers the implications of the applications of international standards, local regulations and industry guidelines to risk and resilience engineering asset operations.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Bauingenieurwesen Gebäudemanagement, Gebäudeschäden
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
- Geowissenschaften Umweltwissenschaften Nachhaltigkeit
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
Weitere Infos & Material
Part 1: Risk Management and Qualitative Analysis.- 1. RQCM: Risk Qualitative Criticality Matrix. Case study: Ophthalmic lens production systems in Costa Rica.- 2. Factors affecting the quality of network services in emerging telecoms operating environment and markets.- Part 2: Technology and Innovation in Asset Management.- 3. A Conceptual Implementation Process for Smart Maintenance Technologies.- A Framework for Assessing Emerging Technology Risks in Industrial Asset.- Part 3: Asset Health and Maintenance Strategies.- 5. Challenges on an Asset Health Index (AHI) Calculation.- 6. General Bases to Hierarchy Definition for Digital Assets in Railway Context.- 7. Determination of the exact economic time for the component replacement using condition-based maintenance.- Part 4: Industry-Specific Asset Management and Other Considerations.- 8. Audit models for asset management, maintenance, and reliability processes: A case study applied to the desalination plant.- 9. Audit Model for Asset Management, Maintenance and Reliability Processes: A case study applied to pulp mill sector.- 10. The Role of Eco-Driving and Wearable Sensors in Industry 4.0.