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arXiv · 2510.26831

Disruption Management in Airline Operations: A Solver-based Approach using Time-Space Network Optimization

J. Rodrigues·F. Turoboś·M. Lenartowicz·Z. Puchała·M. Klimek·K. Hendzel·P. Gepner
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Abstract

This paper presents AIRS, a day-of-operations disruption-recovery system. AIRS.ACR models integrated aircraft-crew recovery on a Time-Space Network (TSN) and solves a mixed-integer linear program (MILP) that enforces rotation continuity, crew legality, maintenance windows, slot capacities, and multi-leg integrity via flow-balance constraints; disruption-aware search-space construction and warm starts control combinatorial growth. A companion module, AIRS.PaxR, performs rapid passenger re-accommodation using greedy assignment and lightweight evolutionary search while preserving aircraft-crew feasibility. Across realistic evaluations, AIRS meets operational decision windows and reduces recovery costs relative to manual or sequential methods, providing a scalable, extensible decision-support capability for operations control centers.

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J. Rodrigues, F. Turoboś, M. Lenartowicz, Z. Puchała, M. Klimek, K. Hendzel, P. Gepner. 2025-10-29. Disruption Management in Airline Operations: A Solver-based Approach using Time-Space Network Optimization. https://arxiv.org/abs/2510.26831

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