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A revenue management slot allocation model for liner shipping networks

机译:班轮运输网络的收入管理时段分配模型

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The use of revenue management methods is still an up and coming topic in the liner shipping industry. In many liner shipping companies, decisions on container bookings are made by skilled employees without, or with little use of, decision support systems. Also in the literature, only a few publications on the topic of revenue management in the liner shipping industry can be found. Most of the models that have been suggested so far consider only one service and one ship cycle on this service. However, in liner shipping, it is important to consider the possibility of transhipment between services and of different demand situations at different times. Moreover, drawing inferences from similar developments in other industries and the literature, it seems promising to create a segmentation that divides container bookings into urgent and nonurgent cargo. This segmentation gives the customers more control over their cargo, and the carrier can gain additional revenue through extra charges. To achieve that aim, the carrier needs to keep some slots available until closing time, so he can offer slots on the next ship to customers with urgent cargo. On the basis of these facts, a new quantitative slot allocation model is developed that takes into account priority service segmentation, the network structure of liner shipping with the possibility of transhipment, and the existence of different ship cycles on the services. In contrast to the existing models, this approach leads to a more realistic representation of the situation in liner shipping. The booking limits resulting from the model can be used to decide whether a booking should be accepted or rejected in favour of a possible later and potentially more beneficial booking. A simulation study is done to test the model for different demand scenarios, which leads to promising results.
机译:在班轮运输业中,使用收益管理方法仍然是一个新兴话题。在许多班轮运输公司中,熟练的员工在没有或很少使用决策支持系统的情况下就集装箱预订做出决定。同样在文献中,仅能找到关于班轮运输业收入管理主题的一些出版物。到目前为止,已建议的大多数模型仅考虑一项服务和一项服务的船期。但是,在班轮运输中,重要的是要考虑服务之间以及在不同时间的不同需求情况之间转运的可能性。此外,从其他行业和文献的类似发展中得出的推论,似乎有希望创建一种将集装箱预订划分为紧急和非紧急货物的细分。这种细分使客户可以更好地控制自己的货物,而承运人可以通过收取额外费用获得更多收入。为了实现这一目标,承运人需要在关闭时间之前保持一些可用的插槽,以便他可以在下一艘船上为紧急货物的客户提供插槽。基于这些事实,开发了一种新的定量时隙分配模型,该模型考虑了优先服务细分,班轮运输的网络结构以及转运的可能性以及服务上不同船期的存在。与现有模型相比,此方法可以更真实地表示班轮运输情况。由模型得出的预订限制可用于决定是否应接受预订或拒绝预订,以支持可能的以后预订和可能更有利的预订。进行了仿真研究以针对不同需求场景测试模型,从而得出了可喜的结果。

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