ProBP Optimization

Optimization is the most fundamental part of revenue management systems, is it is the process used to tailor the set of products being offered to maximize revenue. It typically occurs after untruncation and forecasting.

PassengerSim offers several different optimization algorithms, including probabilistic bid price (ProBP) optimization.

example.yaml

rm_systems:
  basic_probp:
    availability_control: bp #(2)!
    processes:
      DCP:
      - step_type: untruncation
        algorithm: em
        kind: leg
      - step_type: forecast
        algorithm: additive_pickup
        kind: leg
      - step_type: probp #(1)!

1. The step_type for probabilistic bid price optimization is probp, this is how PassengerSim identifies what to do in this step.
2. To apply the ProBP optimization results, the rm_system should be set to use bp (bid price) availability controls.

ProBpStep

Bases: RmStep

Implements ProBP as an RM Step

snapshot_filters class-attribute instance-attribute

snapshot_filters: list[Any] = []