https://github.com/flix-tech/RevPy

Collection of some revenue management tools for python 3
https://github.com/flix-tech/RevPy

Last synced: about 1 month ago
JSON representation

Collection of some revenue management tools for python 3

• Host: GitHub
• URL: https://github.com/flix-tech/RevPy
• Owner: flix-tech
• License: mit
• Created: 2016-12-19T16:06:24.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2023-07-06T21:08:27.000Z (over 1 year ago)
• Last Synced: 2024-08-02T13:29:29.363Z (5 months ago)
• Language: Python
• Size: 70.3 KB
• Stars: 46
• Watchers: 11
• Forks: 32
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-supply-chain - RevPy

README

        
# RevPy

[![Build Status](https://travis-ci.org/flix-tech/RevPy.svg?branch=master)](https://travis-ci.org/flix-tech/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)