精益航运成本管理探讨

目前航运公司的成本管理以追求本企业利润为导向,存在诸多不足,不利于企业的长远发展。在精益管理的视角下,航运公司成本管理应该以追求为客户创造价值为导向,实现最小价值链成本,通过各方的“共赢”来谋求企业的长远发展。     

精细操作 适应定线——长江船舶定线制航路与驾驶技术研究

文章针对长江江苏段定线制航路的引入,解读定线制规定的正确运用,分析船队航法与操作习惯的改变,研究适应定线制航路通行的安全对策。     

内河船舶避碰路径优化研究

内河船舶碰撞事故导致重大生命及财产损失，已经引起人们的高度关注．提出一种内河船舶自动避碰路径优化的研究方法，建立了内河船舶操纵运动数学模型，将遗传算法运用到内河船舶避碰路径选优中，提出内河船舶避碰路径优化准则，并构建一种考虑内河航道中运动船舶及障碍物的适应度函数．优化结果表明了本方法的可行性。     

如何做好岚山港危险品船舶的监督管理工作

随着岚山港危险货物的大量增加,做好危险品船舶的审批工作、加强危险品船舶与船公司的联系,认真查验船舶证书、文书,加强现场监督检查、确保船舶作业安全,加强业务研讨、提高监管人员的素质等措施,可有效提高对危险品船舶监督管理的水平,值得同行借鉴.     

提升苏州内河港口岸线集约化管理水平的探讨

港口岸线是不可再生的稀缺资源,在社会经济发展中发挥着重要作用。文章以苏州市为分析样本,介绍了苏州内河港口岸线利用现状,通过与周边地区进行对照,分析了当前苏州内河港口岸线管理方面存在的不足,并提出了在建设现代化内河水运体系的背景下,提升苏州内河港口岸线集约化管理水平的途径。     

基于系统动力学的干散货航运市场运力供给研究

运力过剩是现阶段国际干散货航运市场面临的重要难题,引起干散货航运市场持续低迷.为了揭示干散货航运市场运力供给的发展,阐述了干散货航运市场运力供给现状以及未来的发展趋势,应用系统动力学方法建立未来运力供给模型,对影响干散货航运市场运力供给的各种因素及相互制约关系进行了分析,提出了应对运力过剩问题的若干调整策略.     

Impacts of the Belt and Road Initiative in the Indian subcontinent under future port development scenarios

ABSTRACT

The aim of this paper is twofold: the first is to assess the extent to which current port development initiatives contribute to securing the status of the Port of Colombo as a regional transshipment (T/S) hub to serve the Indian subcontinent; and the second is to generate plausible future development scenarios for the maritime industry in the context of the Belt and Road Initiative (BRI). A scenario analysis method is applied to examine the past trends and to build future development scenarios. The results showed that major Indian ports have experienced a significant growth in cargo volumes and vessel traffic. South and East Indian coastal ports continue to use the Port of Colombo as a T/S port in tandem with the corridors connected to the Indian Ocean. Scenario analysis highlights the growing importance of BRI-centric land-based economic corridors, which would generate a large amount of cargos from hinterlands up to China. This would be further fueled through the Great Mekong region-driven industrialization, which would add to the west-bound maritime cargo volume. The paper concludes that the increased capital influx from China would more likely to result in a substantial development of the present port and road/rail infrastructure in Sri Lanka.     

Neural network-based fuel consumption estimation for container ships in Korea

ABSTRACT

Due to the outstanding strength of advanced machine-learning techniques, they have become increasingly common in predictive studies in recent years, particularly in predicting ship energy performance. In constructing predictive models, prior studies have mostly employed vessels’ technical parameters to establish machine-learning algorithms. To bridge this research gap and enable wider applications, this paper presents the design of a multilayer perceptron artificial neural network (MLP ANN) as a machine-learning technique to estimate ship fuel consumption. We utilized the real operational data from 100–143 container ships to estimate fuel consumption for five different container ships grouped by size. We compared the performance of two ANN models and two multiple-regression models. Four input parameters (sailing time, speed, cargo weight, and capacity) were included in the first ANN and the first regression model, while the other two models only consider two inputs from physical function. The mean absolute percentage error of the ANN models with four inputs was the smallest and less than those in extended statistical models, demonstrating the MLP’s superiority over the statistical model. The MLP ANN model can thus be applied to confirm the effectiveness of the slow-steaming method for achieving energy efficiency.     

Effect of a speed reduction of containerships in response to higher energy costs in Sulphur Emission Control Areas

The objective of this paper is to explore the possible consequences of the future low-sulphur fuel requirements in Sulphur Emission Control Areas (SECA) on vessel speed, from the standpoint of the container shipping industry. Rational energy use, speed reduction, and revenues are closely related in the container shipping sector because speed reductions may provide substantial energy and cost savings. The operators could consider reducing their speed in SECA in order to save on fuel that will become relatively expensive. However, to maintain a weekly frequency without adding new ships, such a behaviour implies that the required speed at sea outside the SECA area increases. This paper aims to investigate if such a difference in speed is cost-effective, and if the increase in speed outside SECA may result in an increase in CO₂ emissions of the total cycle. We propose a cost model that estimates the cost-minimising combination of speeds inside and outside SECA, and the resulting CO₂ emissions of the liner service. Applying this model to representative liner services serving North Europe, we find that differentiating speed accordingly slightly decreases total costs and increases CO₂ emissions in a similar way. The results are sensitive to the price of low-sulphur fuels, the part of the cycle in SECA and the number of ships deployed in the service.     

发展广州船舶交易市场的思考

简述了大力发展广州船舶交易市场的意义,分析了广州船舶交易市场发展的有利条件和现状,探讨了市场发展缓慢的原因,为寻求发展策略提供思路.