nmarwen / revpy

Collection of some revenue management tools for python 3

RevPy

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)