A new robust capacitated hub interdiction problem under ambiguous demand and its benders decomposition

Key Points

• The benders decomposition effectively addresses the capacitated hub interdiction problem under ambiguous demand scenarios.
• Demand forecasting uncertainty impacts the optimization of hub location and capacity, enhancing logistical efficiency.
• Observed metrics show improved resilience in hub networks when using benders decomposition techniques for decision-making.
• Implications highlight the need for robust planning in logistics, particularly under uncertain demand conditions.