Day 1: April 26th
UTC |
Title |
Speakers |
13:00 |
Study Group Chairs’ welcome address |
V. Lurkin and D. Buitendijk (SG Chairs) |
13:05 |
President’s welcome address |
Laurie Garrow (AGIFORS President) |
13:10 |
Choice Based Revenue Management Systems Simulation |
Mitsuyoshi Fukushi (Pontificia Universidad Católica de Chile) |
13:30 | Continuous Markov Chain Choice for Schedules | Jonas Rauch (PROS) |
14:00 | Total Revenue Optimization Approaches with the Markov Chain Choice Model | Kevin Wang (Massachusetts Institute of Technology) |
14:30 |
Break |
|
15:00 |
Product and Ancillary Pricing Optimization: Market Share Analytics via Perturbed Utility Model |
Changchun Lia (National University of Singapore) |
15:20 | A Heuristic for Incorporating Ancillaries into Air Choice Models with Personalization | Michal Sznajder, Richard Ratliff (Sabre) |
16:00 | Closure Day 1 | V. Lurkin and D. Buitendijk (SG Chairs) |
Day 2: April 27th
UTC |
Title |
Speakers |
13:00 |
Study Group Chairs’ welcome address |
V. Lurkin and D. Buitendijk (SG Chairs) |
13:05 |
Competitive Pricing in Airline Revenue Management (CARM) with Multi-agent Reinforcement Learning |
Peng Wei (George Washington University), Syed A.M. Shihab (Kent State University) |
13:30 | Machine Learning meets Causal Inference: A Hybrid Framework for Price Sensitivity Estimation |
Ravi Kumar, Shahin Boluki (PROS) |
14:00 | Predicting Airline Passenger No-Show with Machine Learning & PNR Features for Revenue Optimization |
Cindy Yao, Alan Regis (Air Canada) |
14:30 |
Break |
|
15:00 |
Are You Ready to Skip Demand Forecasting? A Neural Network based Adaptive Approach to Revenue Management |
Ezgi Eren (PROS) |
15:25 | From Passive to Active Learning: Improving Forecast Quality and Revenue through Price Experimentation | Mike Wittman, Thomas Fiig (Amadeus IT Group) |
15:55 | Fare Structure Optimisation using Agent-Based Modeling and Bayesian Optimization | Javier Jimenez (Airnguru) |
16:30 | Closure Day 2 | V. Lurkin and D. Buitendijk (SG Chairs) |
Day 3: April 28th
UTC |
Title |
Speakers |
13:00 |
Study Group Chairs’ welcome address |
V. Lurkin and D. Buitendijk (SG Chairs) |
13:05 |
Market-Based and Policy-Based Conditional Demand Forecasting Method |
Tim Yuxuan Lu (Massachusetts Institute of Technology) |
13:30 | Multi-itinerary market adaptive dynamic pricing |
Octavian Oancea (Sabre) |
13:55 | Continuous is the new black An efficient framework aligned with continuous pricing for joint optimization of fares across competing itineraries | Burak Ozdaryal, Anubhav Jain, Indrajit Chatterjee, Bazyli Mikolaj Szymanski (United Airlines) |
14:30 |
Break |
|
15:00 |
Come One Come All: Sharing Data Across Airlines is a Positive-Sum Game |
Ross Winegar (PROS) |
15:20 | Revenue Management with Multiple Flexible Products: Downgradables, Upgradables and Callables |
Dhandabani S.R.K Amit (Indian Institute of Technology Madras) |
15:45 | Cargo Show-Up Rate Prediction |
Gurveen Kaur (Sabre) |
16:15 | Closure Day 3 | V. Lurkin and D. Buitendijk (SG Chairs) |