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A methodology to assess vessel berthing and speed optimization policies

机译:评估船只停泊和速度优化策略的方法

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Standard ocean shipping contracts stipulate that a chartered vessel must sail at 'utmost despatch', with no consideration for the availability of berths at the destination port. The berthing policies used at many ports, which admit vessels on a first-come, first-served basis, provide an additional incentive for the master to sail at full speed. These legacy contracts and berthing policies constitute a major driver of harbour congestion and marine fuel consumption, with adverse economic, safety, and environmental consequences. We propose a methodology to evaluate the potential benefits of new berthing policies and ocean shipping contracts. Given the importance of stochasticity on the performance of maritime transport systems, and the need to represent the efficient allocation of terminal resources, we have chosen a hybrid simulation-optimization approach. Our discrete event simulation model represents vessels and their principal economic and physical characteristics, the spatial layout of the terminal, performance of the land-side equipment, contractual agreements and associated penalties, and berthing policies. The proposed optimization model - a substantial extension of the traditional berth assignment problem - represents the logic of the terminal planner. The simulation program solves multiple instances of the optimization model successively in order to represent the progression of planning activities at the terminal.
机译:标准海洋运输合同规定,租船必须在“最大发送量”下航行,而不考虑目的港泊位的可用性。许多港口采用的泊位政策以先到先得的原则接纳船只,这为船长全速航行提供了额外的动力。这些传统合同和停泊政策是造成港口拥堵和海洋燃料消耗的主要驱动力,并对经济,安全和环境造成不利影响。我们提出一种方法来评估新的泊位政策和远洋运输合同的潜在利益。考虑到随机性对海上运输系统的性能的重要性以及代表终端资源有效分配的需求,我们选择了一种混合仿真优化方法。我们的离散事件模拟模型表示船舶及其主要经济和物理特性,码头的空间布局,陆侧设备的性能,合同协议和相关罚款以及泊位政策。所提出的优化模型是对传统泊位分配问题的实质扩展,它代表了终端计划者的逻辑。仿真程序连续求解优化模型的多个实例,以表示终端处计划活动的进度。

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