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Full Description
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.
Contents
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.
