Enhancing Baggage Handling Operations at Hub Airports through Sequential Forecasting and Resource Allocation: A Gradient Boosting Approach with MILP Optimisation

Baggage handling operations in airports have become substantially more challenging due to the surge in air transportation demand witnessed in the last three decades combined with an even higher pressure on the operations following the COVID-19 pandemic. The intricate nature of checked baggage requirements, impacting resource allocation and...

An Optimisation and Forecasting Framework for ULD Packing in the Air Cargo Supply Chain

The air cargo industry is a challenging environment due to the high competition between the stakeholders involved. This demands, as example, high efficiency from cargo airlines. Efficiency can be ensured by designing loading strategies that fully exploit the available cargo volume. Unknowns in the booking dimensions and flight information make...

Flexibility services by a community microgrid: Quantifying the value of flexibility services by a community microgrid in the context of the Dutch electricity sector using Schoonschip as case study

The volatile production of renewable energy sources is often considered a key issue in future sustainable energy systems. Drawing on microgrid research, we argue that the potential synergy between microgrid energy management and provision of flexibility services to the wider grid could be further explored. In addition, the trade-off between cost...