Container vessel fleet deployment for liner shipping with stochastic dependencies in shipping demand

The problem of optimal container vessels deployment is one of great significance for the liner shipping industry. Although the pioneering work on this problem dates back to the early 1990s, only until recently have researchers started to acknowledge and account for the significant amount of uncertainty present in shipping demand in real world container shipping. In this paper, new analytical results are presented to further relax the input requirements for this problem. Specifically, only the mean and variance of the maximum shipping demand are required to be known. An optional symmetry assumption is shown to further reduce the feasible region and deployment cost for typical confidence levels. Moreover, unlike previous work that tends to ignore stochastic dependencies between the shipping demands on the various routes (that are known to exist in the real world), our models account for such dependencies in the most general setting to date. A salient feature of our modeling approach is that the exact dependence structure does not need to be specified, something that is hard, if not simply impossible, to determine in practice. A numerical case study is provided to illustrate the proposed models.     

The multi-port berth allocation problem with speed optimization and emission considerations

The container shipping industry faces many interrelated challenges and opportunities, as its role in the global trading system has become increasingly important over the last decades. On the one side, collaboration between port terminals and shipping liners can lead to costs savings and help achieve a sustainable supply chain, and on the other side, the optimization of operations and sailing times leads to reductions in bunker consumption and, thus, to fuel cost and air emissions reductions. To that effect, there is an increasing need to address the integration opportunities and environmental issues related to container shipping through optimization. This paper focuses on the well known Berth Allocation Problem (BAP), an optimization problem assigning berthing times and positions to vessels in container terminals. We introduce a novel mathematical formulation that extends the classical BAP to cover multiple ports in a shipping network under the assumption of strong cooperation between shipping lines and terminals. Speed is optimized on all sailing legs between ports, demonstrating the effect of speed optimization in reducing the total time of the operation, as well as total fuel consumption and emissions. Furthermore, the model implementation shows that an accurate speed discretization can result in far better economic and environmental results.     

基于设计波法的超大型集装箱船疲劳强度评估

基于BV规范中的疲劳强度计算评估方法,论述了设计波法的基本原理,给出了确定设计波载荷的基本流程和疲劳累计损伤组合计算的方法,并据此对某超大型集装箱船的重点位置结构进行疲劳强度的计算分析与评估。     

欧洲集装箱内河运输经验借鉴

随着全球和区域经济网络的形成和发展,内河集装箱运输得到了迅猛发展,人们日趋认识到内河集装箱运输在集装箱多式联运体系中的重要价值和未来持续增长的潜力。为此,以欧洲集装箱内河运输经验为借鉴,对集装箱内河运输模式进行了分析,内容包括:内河集装箱发展演变特点、给予政府层面的集装箱内河运输推进模式等,在此基础上,对我国的内河集装箱运输,提出了若干建议。     

“两港一航”集装箱电子标签系统的应用示范研究

介绍了集装箱电子标签的国内外发展概况及其应用示范的意义,同时介绍了集装箱电子标签系统的设计思路和关键技术,最后总结了集装箱电子标签系统的创新点。     

铁路集装箱空箱调度模型及求解算法

从铁路集装箱运输市场的实际情况出发,设置相关的变量,建立基于顾客偏好的模糊运输规划模型和带时间窗的运输规划模型。针对这些特殊的运输问题,应用遗传算法去求其最优解,并设计了相应的矩阵编码方法、适应度计算、交叉算子和变异算子。给出一仿真实例,仿真结果表明上述两个模型的最优调度方案一致,证明运输正点率是提高运输服务质量的一个关键因素。     

大型集装箱船极限强度准则可靠性研究

本文对某一万箱级和某两万箱级的2型超大型集装箱船的极限承载能力分布、静水弯矩分布、波浪弯矩极值预报以及UR S11A要求的极限强度进行了分析，采用改进的一次二阶矩法（FORM），对2型船的失效概率进行计算，旨在验证满足UR S11A极限强度要求的超大型集装箱船的安全水平，以验证此强度准则的可靠性。     

国际集装箱多式联运与东部港口竞争力分析

从北方中西部地区外贸货物国际集装箱多式联运的路径优化分析入手，分别通过对经上海、青岛和连云港转运的全程广义运输成本的估算，以及概率型交通量分配模型的应用，就我国东部港口之间的竞争力水平进行了实证研究。     

中心站间铁路集装箱运输径路选择优化研究

采用系统观点和类比方法,运用运输组织、离散数学、最优化理论等相关理论,对中心站间集装箱运输径路选择问题的参数和模型进行了深入的研究。在分析和借鉴已有车流径路选择优化模型的基础上,构建了重箱流径路选择的多目标0-1规划模型,并经过对相关算法的研究和分析,选择DBFS和GP作为模型的求解方法。     

集装箱航运服务组合拍卖模型研究

根据运输的“范围经济性”原理,阐述了集装箱航运服务组合拍卖的适用性,围绕价值因素和价值评价因素,分析了集装箱航运服务组合拍卖的比较优势,结合集装箱航运服务的特点,以拍卖者效用最大化和投标者总估值最大化平衡为目标,设计出了组合拍卖的机制和运作程序;针对组合拍卖中的竟胜标问题,建立了集装箱航运服务组合拍卖的一般优化模型,并通过引入集装箱航运服务质量属性参数和运量限制等约束条件,对其进行了改进。从而为实现集装箱航运服务在线拍卖提供理论支持和计算平台。