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A network group booking model for airline revenue management
Journal of Modelling in Management ( IF 1.8 ) Pub Date : 2021-02-08 , DOI: 10.1108/jm2-06-2020-0175
Sri Vanamalla Venkataraman , Ankit Kaushik , Siddharth Mishra

Purpose

Airlines use various analytical techniques to optimally control seats in its various fare classes. Most literature on inventory control does not discuss policies for group arrivals. This study aims to address the literature gap in determining an optimal booking policy which considers the dynamics of group behaviour with respect to cancellations and refunds.

Design/methodology/approach

An analytical model by which bid price control mechanism can be applied to group bookings is developed through this study.

Findings

Numerical experiments are performed to demonstrate the analytical model under various scenarios. A comparison of the model with the traditional model indicates an increase in the total revenue generated.

Originality/value

The novelty of this work is in modelling the dynamics of group behaviour in a network of flights, and it contributes to the literature on revenue management.



中文翻译:

一种用于航空公司收益管理的网络团体订票模型

目的

航空公司使用各种分析技术来优化控制其各种票价等级的座位。大多数关于库存控制的文献都没有讨论团体抵达的政策。本研究旨在解决在确定最佳预订政策方面的文献空白,该政策考虑了取消和退款方面的团体行为动态。

设计/方法论/方法

通过这项研究,开发了一种可以将投标价格控制机制应用于团体预订的分析模型。

发现

进行了数值实验以证明在各种情况下的分析模型。该模型与传统模型的比较表明产生的总收入有所增加。

创意/价值

这项工作的新颖之处在于对航班网络中的群体行为动态进行建模,并有助于收入管理方面的文献。

更新日期:2021-02-08
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