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Planning software B Capacity
simulationfor airport

planning software
planning software
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Characteristics

Function
planning, simulation
Applications
for airport

Description

B Capacity Easily plan your resources and manage capacity constraints! Our B Capacity product enables you to flexibly and independently model capacity flows through your airport’s infrastructure and to test it against future traffic scenarios in order to analyze capacity constraints and optimize the usage of current or future infrastructure. B Capacity helps you to understand if your airport can cope with the traffic and maintain service levels despite growing passenger and movement numbers. It works out optimized opening patterns for all infrastructures, determining the needed number of counters / lanes to meet target service levels and saving operational costs as well as capital expenditure. The modelling is done via a drag-and-drop functionality. Passenger flows and assumptions can be adjusted by the user at any given point to derive different scenarios. Usage can be extended from the sole passenger view to stand and gate allocation as well as check in allocation using state-of-the-art allocation algorithms. integrated Compare your different forecasts to determine future development requirements quick Use the time saved for planning quality and smart scenario consolidation broad Be aware of essential capacity drivers and bottlenecks clear Be in full control throughout the planning process innovative Internally model airport processes easily System module features Work collaboratively on capacity scenarios Use alternative schedule-based forecasts for what-if analysis to determine constraints on specific facilities and areas within the airport Use the standard reporting tool B Analytics to quickly identify peak days, infrastructure short falls, etc.
*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.