超售预订机制对集装箱码头运营绩效及温室气体排放的影响

IF 3.3 Q2 TRANSPORTATION
Meditya Wasesa, Fakhri I. Ramadhan, Arfenia Nita, Prawira F. Belgiawan, Lidia Mayangsari
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引用次数: 5

摘要

车辆预约系统有助货柜码头与拖运车辆协调货柜取货作业预约。但是,在许多情况下,预订的卡车不会在预定的时间到达。随着未到期率的增加,集装箱码头的生产率将大幅下降,未能获得预定的运货卡车将失去获得服务的机会。本研究提出了一种超预订机制(ORM)来缓解这些未到的负面影响。本研究详细分析了现有预订机制的流程映射,提出了一个ORM,并进行了基于代理的模拟,以评估ORM在不同的未到席和工作入住率水平下,与常规预订机制和演出预订机制的性能。ORM的应用程序可以提高生产力和服务水平,同时最大限度地减少诸如排队长度、加班和温室气体排放等负面外部性。高加班强度只有在集装箱码头的工作量异常高,达到最大容量的200%时才会出现,而且缺勤率很低。即使在异常高的需求条件下,卡车也只需等待16分钟即可接受服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of overbooking reservation mechanism on container terminal’s operational performance and greenhouse gas emissions

Truck appointment systems facilitate coordination between container terminals and drayage trucks in container pick-up operation reservation. However, in many cases, trucks with a reservation do not arrive at the scheduled appointment. As the number of no-shows increases, the container terminal’s productivity will plummet, and drayage trucks that failed to get reservations will lose their opportunity to get service. This research proposes an overbooking reservation mechanism (ORM) to alleviate the negative impact of these no-shows. This research scrutinizes the detailed process mapping of the existing reservation mechanism, proposes an ORM, and conducts agent-based simulations to evaluate the ORM's performance against the regular and go-show reservation mechanisms at different levels of no-shows and working occupancies. The application of an ORM can improve productivity and service levels while minimizing such negative externalities as queue length, overtime, and greenhouse gas emissions. High overtime intensities only appear when the container terminal's workload is exceptionally high, at 200% of maximum capacity, with a low level of no-shows. Even in exceptionally high demand conditions, the drayage trucks wait only up to 16 min before receiving service.

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来源期刊
CiteScore
7.80
自引率
6.50%
发文量
23
审稿时长
92 days
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