Demand-capacity balancing (DCB) is a critical factor in ensuring smooth and efficient air traffic flow. This solution proposes a dual approach to significantly enhance DCB capabilities. Traditional DCB methods struggle to address both local airspace constraints and broader needs, including network and civil-military needs. This can lead to inefficiencies in resource allocation, decision-making, and overall airspace management.

The first approach focuses on collaborative decision-making (CDM) process among different actors: Network and local coordination and civil and military coordination bringing dynamic mobile areas (DMA) into the demand and capacity balance (DCB) processes. This strategy balances the specific limitations of individual airspace zones with a centralized network model. This innovative approach fosters optimised resource allocation, leading to streamlined decision-making and cost savings. The second approach tackles improvements within the DCB domain. Here, the focus is on leveraging advanced algorithms to improve airspace management. Additionally, this approach emphasizes better utilization of existing tools within the DCB toolbox (i.e. Dynamic airspace configuration). Enhanced network coordination and the implementation of automated configuration tools are also key aspects of this approach. These combined efforts aim to achieve faster processing times, increased adaptability to changing demands, and the creation of resilient airspace configurations.

By implementing this dual approach, we aim to revolutionise DCB, leading to a smoother, more efficient, and collaborative airspace management system.

No specific Standard and Regulatory aspects are envisioned in the solution at this specific moment.

BENEFITS
The solution expects to have a high impact of fuel efficiency (FEFF1), predictability (PRD1), and punctuality (PUN1), and a medium one on flight time (TEFF1) and controller productivity (CEF2).