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Improving railway maintenance planning using a matheuristic approach based on random search and decomposition methods
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DOI：10.1016/j.ress.2025.112103.png)
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Abstract
En 中文
• New approach to improve the planning of maintenance activities for vehicle fleets. • Matheuristic algorithmic approach based on random search and decomposition methods. • The proposed approach provides optimal solutions in competitive computation times. • Novel hybrid method bridging the gap between purely heuristics and exact methods. • The matheuristic can improve the maintenance planning of a passenger railway company.
Keywords:
Railway maintenance
Matheuristic
Scheduling
Integer linear programming
Operations research
Asset management
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