Incomplete or out of date information can hamstring the decision making process.
Create processing models that fit your organizational structure at installation and adjust or introduce new models to accommodate operational evolution over time.
Model the complexities of any operation using the EPAS integrated, activity-based costing engine.
Define and store multiple processing models provides information from the time a schedule is proposed through flown flight
Use network analysis to fully understand/determine the value of a flight in terms of its connecting traffic.
EPAS flexibile architecture enables users to control and evolve methodology without dependence on IT code development
EPAS is a configurable application giving users complete control over all aspects of methodology definition including P/L line item setup, general ledger mapping, operational hierarchical structure setup and derivable statistic definition
As the business evolves, this flexibility enables methodology evolution to conform to the operation
Most performance analysis is limited to looking at a single flight leg. So, a poor performing flight leg quickly becomes a candidate for cancellation.
But, would you still be inclined to cut this market if you knew that the majority of customers in this market were connecting to other flights?
Even accounting for local market “spill,” these connecting passengers might be making a net positive contribution based on the analysis of their true origin and destination. But, you’d never know if you were using conventional performance analysis tools.
Through the multi-model capability of EPAS, focus can be made to different operational sub-components beyond the traditional Route Profitability such as
Further, EPAS enables the measurement across time horizions: last month, month to date, next month and What-If analysis.
The EPAS integrated cost allocation engine supports a full spectrum of methods to define and assign costs to individual flights.
The robust allocation engine combined with a variety of data enhancement methodologies creates results unobtainable from other systems and processes.
End users create and maintain the allocation methodology through an on-line interface allowing timely maintenance and transparency.
EPAS also automatically detects new input data attributes such as new stations or fleet types, thereby limiting the need for manual intervention.
Today’s environment demands timely proactive or reactive action. That’s why we built APAS with modeling capabilities far beyond traditional systems.
EPAS enables users to measure profitability on weekly or even daily basis, which equips decision makers with better information to take more timely action
Forecast the performance of your proposed schedule based on your operating, revenue and cost assumptions.