Abstract
Hub transportation networks are vulnerable to uncertainties such as natural disasters or terrorist attacks. We investigate the single-allocation p-hub location problems and the effect of uncertainties on deliveries. We introduce a bi-objective reliable capacitated p-hub location model considering hubs and links uncertainties to minimize both the total cost and the maximum transportation time. An efficient approximation approach is proposed to provide a lower bound for the optimal Pareto-frontier. We develop a new hybrid meta-heuristic algorithm to solve the model to near optimality. Our modelling and analysis of France transportation network shows that cost and delivery performance could be significantly improved.
Original language | English |
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Pages (from-to) | 90-120 |
Number of pages | 31 |
Journal | Transportation Research. Part E: Logistics and Transportation Review |
Volume | 123 |
DOIs | |
Publication status | Published - Mar 2019 |
Externally published | Yes |
Keywords
- Congestion
- Disruption
- Hub location problem
- Hybrid metaheuristics
- Multi-objective optimization