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RevPy

Build Status

Collection of some revenue management tools for Python 3.

Features

  • Single leg optimizer (EMSRb)
  • Fare transformation for unrestricted fare structures
  • EMSRb for unrestricted fare structures (EMSRb-MR)
  • A multi-flight recapture method (MFRM) for estimating unconstrained demand from sales transaction data
  • Linear programming (LP) solver for calculating static bid prices and partitioned allocations

TODO

  • Implement dynamic programming (DP) optimizer to model time-dependent arrival rates
  • Implement network heuristics (DAVN, DP-LP decomposition)
  • Integrate customer choice model into optimizers

Literature

  1. Talluri and van Ryzin: "The Theory and Practice of Revenue Management", Springer (2004)
  2. Fiig et al.: "Optimization of mixed fare structures: Theory and applications", Journal of Revenue and Pricing Management (2010)
  3. Ratliff et al.: "A multi-flight recapture heuristic for estimating unconstrained demand from airline bookings", Journal of Revenue and Pricing Management (2008)