Support of the speed decision in liner operation by evaluating the trade-off between bunker fuel consumption and reliability

IF 3.9 Q2 TRANSPORTATION
A. Graf von Westarp, C. Brabänder
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引用次数: 4

Abstract

In liner container shipping, the optimization of bunker fuel costs and reliability can theoretically be achieved by steaming the distance in the available time at average, constant speed. However, in reality bunker fuel costs and reliability are mutually contradictory objectives. Due to incidents (e.g. technical problems on board of vessels, bad weather conditions, piracy) speed ups are necessary to arrive on schedule or at least to mitigate the delay. In this paper, a new approach to liner speed management is proposed. In order to manage the trade-off between bunker fuel consumption and reliability of services, a preventive buffer structure is built up to secure the schedule against delays. However, any analytical calculation of the structure and its effects can only be achieved with disproportionate effort. Therefore, a “discrete event simulation” is applied. Although a heuristic attempt does not provide the exact solution, reasonable and wide-ranged solutions are offered. Different decision alternatives are outlined, structured and tested to find appropriate speed profiles. For the evaluation of speed profiles three measures of reliability and deviation (α-reliability: ratio of punctual vessels [in%], β-deviation: average positive deviation from the schedule [in hours], γ-deviation: average negative deviation [in hours]) and costs are illuminated.

通过评估舱内燃料消耗和可靠性之间的权衡来支持班轮运行中的速度决策
在班轮集装箱运输中,理论上可以通过以平均、恒定的速度在可用时间内蒸离距离来实现船用燃料成本和可靠性的优化。然而,在现实中,燃料成本和可靠性是相互矛盾的目标。由于事故(例如船上的技术问题、恶劣的天气条件、海盗行为),必须加快速度才能如期到达或至少缓解延误。本文提出了一种新的班轮速度管理方法。为了管理燃料消耗和服务可靠性之间的权衡,建立了一个预防性缓冲结构,以确保时间表不会延误。然而,结构及其效果的任何分析计算都只能通过不成比例的努力来实现。因此,应用了“离散事件模拟”。尽管启发式尝试不能提供确切的解决方案,但提供了合理和广泛的解决方案。对不同的决策备选方案进行了概述、结构化和测试,以找到合适的速度曲线。为了评估速度剖面,阐明了可靠性和偏差的三种衡量标准(α-可靠性:准时船只的比率[以%计],β-偏差:与时间表的平均正偏差[以小时计],γ-偏差:平均负偏差[以时间计])和成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.90
自引率
0.00%
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