About
Contact & Profiles
A5057689389
Research Areas
- Railway Engineering and Dynamics
- Transport and Economic Policies
- Railway Systems and Energy Efficiency
- Infrastructure Maintenance and Monitoring
- Manufacturing Process and Optimization
- Fault Detection and Control Systems
- Scheduling and Optimization Algorithms
- Reliability and Maintenance Optimization
Luleå University of Technology
2021-2024
Abstract Timely planning and scheduling of railway infrastructure maintenance interventions are crucial for increased safety, improved availability, reduced cost. We propose a data‐driven decision‐support framework integrating track condition predictions with tactical operational scheduling. The acknowledges prediction uncertainties by using Wiener process‐based model at the level. also develop algorithms One algorithm focuses on cost‐optimisation, one considers multi‐component...
10.1002/qre.3166
article
EN
cc-by-nc-nd
Quality and Reliability Engineering International
2022-07-16
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