CHOICE-BASED SEATING POSITION MODEL WITH UNDISTINGUISHED MULTI-LINES IN REVENUE MANAGEMENT

Yu Ogasawara, Masamichi Kon
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Abstract

In revenue management, there are models which aim to maximize revenue by controlling policy for uncertain demands throughout a booking horizon. The models are called dynamic models. One of the applications of the dynamic models is reservation system which offers available seats for customers’ requests. Recently, the system has allowed us to choose our booking seat position. However, the dynamic models in revenue management have not been included customers’ selection behavior for seating position. This paper proposes choice-based seating position model with undistinguished multi-lines that is a dynamic model considered with the customers’ selection behavior for seating positions. Approximate solutions for this model are calculated by Choice-based Deterministic Linear Programming (CDLP) and decomposition approximation which are used in choice-based network revenue management models. This paper suggests that CDLP is more effective than decomposition approximation for the choice-based seating position model, even through some reports in revenue management suggested that decomposition approximation could derive higher revenue than CDLP in their models.
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基于选择的座位位置模型与未区分的多线收入管理
在收益管理中,有一些模型旨在通过在整个预订范围内控制不确定需求的策略来实现收益最大化。这些模型被称为动态模型。动态模型的应用之一是预定系统,它根据顾客的要求提供可用的座位。最近,系统允许我们选择我们的预订座位位置。然而,收益管理中的动态模型并没有考虑顾客对座位位置的选择行为。本文提出了一种考虑顾客座位选择行为的基于选择的无区分多线座位模型。利用基于选择的网络收益管理模型中使用的基于选择的确定性线性规划(CDLP)和分解近似计算了该模型的近似解。本文认为,对于基于选择的座位位置模型,CDLP比分解近似更有效,甚至通过一些收益管理报告表明,在他们的模型中,分解近似比CDLP可以获得更高的收益。
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来源期刊
Journal of the Operations Research Society of Japan
Journal of the Operations Research Society of Japan 管理科学-运筹学与管理科学
CiteScore
0.70
自引率
0.00%
发文量
12
审稿时长
12 months
期刊介绍: The journal publishes original work and quality reviews in the field of operations research and management science to OR practitioners and researchers in two substantive categories: operations research methods; applications and practices of operations research in industry, public sector, and all areas of science and engineering.
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