Optimizing pricing and packing of variable-sized cargo

Optimizing pricing and packing of variable-sized cargo
复制标题

优化可变尺寸货物的定价和包装

DOI:
10.1093/imaman/dpaa021
复制
发表时间:
2021
影响因子:
1.7
通讯作者:
Martinez-Sykora A
Martinez-Sykora A
中科院分区:
工程技术3区
文献类型:
--
作者:
Martinez-Sykora A

文献摘要

参考文献

相似文献

多年来,组织已经成功地使用动态定价来优化收入,其中的研究和实践主要集中在独立、离散商品的应用上;例如,一张机票。在这项研究中,我们考虑了商品是连续的,可供出售的商品的价值取决于先前接受的需求的组合的应用。我们专注于车辆轮渡,在轮渡中,接受的车辆预订被打包在轮渡的车道上,为未来的预订留下可用的空间。车辆的某些组合可能会导致无法使用的空间,这将影响未来的收入。虽然这一应用是本文的重点,但还有许多行业面临着类似的挑战,包括货运和电视和广播广告销售。本文同时解决了产品类型和随机需求的离散集合下的定价和资源利用问题。我们的方法结合了动态定价模型和混合整数线性规划来优化包装。我们给出了来自渡轮行业的实际例子的结果,并讨论了该方法的扩展,以改进车辆配置的选择。
Organizations have successfully used dynamic pricing to optimize revenues for many years, where research and practice have mainly focused on applications with independent, discrete commodities; for example, an airline ticket. In this research we consider applications where the commodity is continuous and the value of the commodity available to sell depends on the combination of previously accepted demand. We focus on vehicle ferries, where the accepted vehicle bookings are packed in lanes in the ferry to leave a usable space for future bookings. Certain combinations of vehicles may result in areas of unusable space, which will affect future revenue. While this application is the focus of the paper, there are numerous industries that face similar challenges including freight and the sale of advertising on television and radio. In this paper, we simultaneously solve the pricing and resource utilization problem to optimality for a discrete set of product types and stochastic demand. Our approach combines a dynamic pricing model with a mixed-integer linear program to optimize the packing. We present results for real-world examples from the ferry industry and discuss extensions to the method to improve the selection of vehicle configurations.
DOI: 10.1109/wsc.2016.7822274
发表时间: 2016
期刊: --
影响因子: --
作者:
Bayliss C
通讯作者: Bayliss C
DOI: 10.1016/j.ejor.2018.08.004
发表时间: 2019-02
期刊: Eur. J. Oper. Res.
影响因子: --
作者:
C. Bayliss;C. Currie;J. Bennell;A. Martínez-Sykora
通讯作者: C. Bayliss;C. Currie;J. Bennell;A. Martínez-Sykora
DOI: --
发表时间: 2016
影响因子: 2.7
作者:
G. Giallombardo;Houyuan Jiang;Giovanna Miglionico
通讯作者: Giovanna Miglionico