
A Twostep Heuristic for the Periodic Demand Estimation Problem
Freight carriers rely on tactical plans to satisfy demand in a costeffe...
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Periodic Freight Demand Forecasting for Largescale Tactical Planning
Crucial to freight carriers is the tactical planning of the service netw...
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Can Machine Learning Help in Solving Cargo Capacity Management Booking Control Problems?
Revenue management is important for carriers (e.g., airlines and railroa...
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Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application
Airlines have been making use of highly complex Revenue Management Syste...
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Modeling Route Choice with RealTime Information: Comparing the Recursive and NonRecursive Models
We study the routing policy choice problems in a stochastic timedepende...
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A learningbased algorithm to quickly compute good primal solutions for Stochastic Integer Programs
We propose a novel approach using supervised learning to obtain nearopt...
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A language processing algorithm for predicting tactical solutions to an operational planning problem under uncertainty
This paper is devoted to the prediction of solutions to a stochastic dis...
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A tutorial on recursive models for analyzing and predicting path choice behavior
The problem at the heart of this tutorial consists in modeling the path ...
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Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information
This paper offers a methodological contribution at the intersection of m...
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Predicting Solution Summaries to Integer Linear Programs under Imperfect Information with Machine Learning
The paper provides a methodological contribution at the intersection of ...
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Emma Frejinger
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