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Carmen has a long-term commitment to R&D; in resource
optimization and its use in decision support systems. The R&D; division
is made up of a third of Carmen's employees, and the research group contains
PhDs from several different countries. Extending the cosmopolitan outlook
are research projects carried out with international academic institutions.
The vision of Carmen's R&D; is to provide a seamless
system for solving the full spectrum of planning and operational problems
in the transportation industry. This is being accomplished by developing
and integrating the building blocks of this system: the global rule and
modeling language (Rave), the core optimization engine (Matador), the
operational data manager (Flamenco), and the configurable graphical user
interface (Studio).
With the combination of Rave and the optimizer,
we provide users with the ability to master
targets in planning and operations, and the power
to integrate traditionally separate processes. The next step is
to base the system on real-time data management that allows to stay in
sync with the operation at all time and to further increase the change
power, i.e. the ability to rapidly adapt to changes and maintain
a competitive edge.
Target Mastery - Know what you get
To be able to benefit from optimization one needs
to make trade-offs between conflicting targets in a controlled way. How
much can better roster quality or stability cost? How close to aircraft
maintenance deadlines should one plan? The goal is to find a plan that
is operational and uses available resources effectively. In order to do
this you want to find out what is the most efficient trade-off between
different resources.
Change Power - Changes always happen
What is optimal today might not be optimal tomorrow.
New agreements are negotiated, new bases opened, maintenance sites closed,
seat configurations changed, timetables revised, the roster publication
procedure changed, new fleets introduced, etc. The only thing one knows
for certain is that something is always changing. With our modeling language,
Rave, we provide the means to master changes in legality, quality and
cost structure as an ongoing process.
Power Integration - Global optimization instead
of sub-optimization
Sometimes one may want to consider many resources
in a combined optimization process. Data from surrounding business processes
can easily be integrated. An example is the integration of fleet and crew
planning. By solving the crew pairing problem before building aircraft
rotations, a much greater range in the types of pairings can be generated,
while at the same time still be able to build feasible and cost effective
aircraft rotations afterwards. This holistic perspective shows significant
savings.
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"Carmen's ability
to manage
operational complexity is amazing" |
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Lothar
Föller, Team Leader Development and Support, Lufthansa
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