Revenue management in the car rental industry: A stochastic programming approach

被引：24

作者：

Alwin Haensel

Michael Mederer

Henning Schmidt

机构：

[1] Department of Mathematics, VU University Amsterdam, 1081 HV, Amsterdam

来源：

Journal of Revenue and Pricing Management | 2012年 / 11卷 / 1期

关键词：

car rental; flexible capacity; network capacity control; revenue management; stochastic programming;

D O I：

10.1057/rpm.2010.52

中图分类号：

学科分类号：

摘要：

A stochastic programming approach for a network revenue management problem with flexible capacities is presented. The study focuses on a car rental network, which has the special property that the fleet distribution between rental stations in the network can easily be adjusted at determined costs. Our method simultaneously optimizes the fleet distribution on the network and the capacity controls at station level. A two-stage stochastic program is considered, where the demand uncertainty in the second stage is approximated by a finite number of scenarios. The performance of the proposed stochastic method is tested by simulation on a small car rental network and compared with the results of a deterministic program. © 2012 Macmillan Publishers Ltd.

引用

页码：99 / 108

页数：9

共 15 条

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