A Column Generation Algorithm for Choice-Based Network Revenue Management

During the past few years, there has been a trend to enrich traditional revenue management models built upon the independent demand paradigm by accounting for customer choice behavior. This extension involves both modeling and computational challenges. One way to describe choice behavior is to assum...

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Bibliographic Details
Published in:	Operations research Vol. 57; no. 3; pp. 769 - 784
Main Authors:	Bront, Juan Jose Miranda, Mendez-Diaz, Isabel, Vulcano, Gustavo
Format:	Journal Article
Language:	English
Published:	Hanover, MD INFORMS 01.05.2009 Institute for Operations Research and the Management Sciences
Subjects:	Airlines Algorithms Analysis analysis of algorithms Applied sciences Approximation choice models computational complexity Consumer behavior Consumer preferences Customers Dynamic programming Exact sciences and technology Firm modelling fractional Heuristic Heuristics Inventory control, production control. Distribution linear applications Linear programming Load forces Marketing Mathematical programming Mathematical vectors Operational research and scientific management Operational research. Management science Portfolio management programming Revenue Revenue management Studies Supply chain management United States Operations research Overlap Network management marketing: choice models Modeling Linear model Marketing Column generation Algorithm complexity Logit model Dynamic programming linear applications programming Mathematical programming fractional Linear programming Return rate Real time Computational complexity Production management analysis of algorithms: computational complexity Deterministic model Heuristic method NP hard problem Greedy algorithm Tariffication By product Algorithm analysis
ISSN:	0030-364X, 1526-5463
Online Access:	Get full text
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