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The main benefit from introducing optimization is that it provides control.
The controller’s role is changed from simply reacting to individual alerts to being in control
of the consequences of different recovery strategies. The optimizer can also be used proactively to
find good recovery strategies. For example to identify suitable cancellation candidates where
passengers can be re-accomodated with only minor inconvenience.
The optimizer evaluates the possible solution strategies and provides
effective means for comparing the different solutions.
By solving the entire problem, rather than trying to solve each sub-problem separately,
it is possible to evaluate the full effect of a solution strategy before applying it. Recovery
optimization focuses on specific properties such as the overall number of changes, the time to recover
to original patterns, cost impacts, passenger disturbances etc. You can also combine a number of
passengers re-booked to other carriers and total weighted delays based on passenger value.
The most important factor is that Carmen Passenger Recovery is very fast. Major changes
are unlikely to occur while the optimizer is running. However, if changes do occur which makes parts
of the solution invalid, you have three options: accept part of the solution and repair it manually,
accept part of the solution and repair it with Carmen Passenger Recovery, or reject the solution in
its entirety and start a new optimization job.
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If you any questions about the Carmen Passenger Recovery, please contact
us at [email protected]
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