Constant-Factor Algorithms for Revenue Management with Consecutive Stays

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Date

1 juin 2025

Type de document
Périmètre
Identifiant
  • 2506.00909
Collection

arXiv

Organisation

Cornell University




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Ming Hu et al., « Constant-Factor Algorithms for Revenue Management with Consecutive Stays », arXiv - économie


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Résumé 0

We study network revenue management problems motivated by applications such as railway ticket sales and hotel room bookings. Request types that require a resource for consecutive stays sequentially arrive with known arrival probabilities. We investigate two scenarios: the reject-or-accept scenario, where the request can be fulfilled by any available resource, and the choice-based scenario, which generalizes the former by incorporating customer preferences through basic attraction models. We develop constant-factor approximation algorithms: $1-1/e$ for the reject-or-accept scenario and $0.125$ for the choice-based scenario.

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