Simulation-based integrated optimization of nesting policy and booking limits for revenue management-Reference-Cited by-同舟云学术

Simulation-based integrated optimization of nesting policy and booking limits for revenue management

Published:2020-12 Issue: Volume:150 Page:106864
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Luo Yongji,Yan Haifeng,Zhang Shoushuai

Funder

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference38 articles.

1. Dynamic bid prices in revenue management;Adelman;Operations Research,2007

2. Simulated annealing for discrete optimization with estimation;Alkhamis;European Journal of Operational Research,1999

3. Application of a probabilistic decision model to airline seat inventory control;Belobaba;Operations Research,1989

4. Belobaba, P. P., 1992. Optimal vs. heuristic methods for nested seat allocation. In Proc. AGIFORS Reservations and Yield Management Study Group, Brussels, Belgium, 28-53.

5. Simulation-based booking limits for airline revenue management;Bertsimas;Operations Research,2005

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