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)



Powered by Wild Apricot Membership Software