自动化集装箱码头堆场调度规则研究与优化

堆场作业效率是体现自动化集装箱码头海侧装卸船能力、陆侧收发箱水平的重要指标。针对自动化集装箱码头堆场作业过程中出现的堆场调度工况不合理、效率较低的问题,进行堆场调度规则研究。通过对堆场各工况实际作业需求进行分析,确立堆场海侧、陆侧作业调度原则,优化不同工况调度顺序,增加自动化堆场作业重进重出比例,改善自动化码头堆场调度逻辑,并对比调度规则优化前后的堆场作业效率。结果表明,优化后的堆场调度规则可以显著提升自动化码头堆场作业效率和对外服务水平,提高自动化码头核心竞争力。     

集卡调度方式对集装箱港区碳排放的影响

集卡已成为集装箱港区内的主要碳排放源,尤其两艘大型集装箱船舶同时作业时,港区内集卡碳排放问题严重。针对该情况下集卡调度模式的特征,基于智能体仿真技术构建集装箱码头生产作业微观仿真模型,定量分析传统先卸后装、双船一装一卸、同贝同步装卸工艺下集卡调度方式与集卡配置数量对船舶在港时间、集卡碳排放量的影响。实例表明,采用同贝同步装卸作业方案可保证装卸效率,并有效减少集卡碳排放,而集卡配置数量只对集卡怠速行驶产生的碳排产生影响。     

自动化集装箱码头装卸工艺系统应用现状与展望

装卸工艺系统是影响自动化集装箱码头总体布局、作业效率和营运成本的关键因素,是设计时需首先考虑的问题。为把握自动化装卸工艺系统的技术发展方向,在论述现有自动化集装箱码头工艺系统应用现状及技术特点的基础上,根据自动化锁销拆装装置、岸桥远程操控、智能驾驶、新能源、自动化轮胎吊等装备技术的发展分析自动化工艺系统的发展趋势,可为自动化集装箱码头的规划建设提供参考。     

Modeling yard crane operators as reinforcement learning agents

Due to the importance of drayage operations, operators at marine container terminals are increasingly looking to reduce the time a truck spends at the terminal to complete a transaction. This study introduces an agent-based approach to model yard cranes for the analysis of truck turn time. The objective of the model is to solve the yard crane scheduling problem (i.e. determining the sequence of drayage trucks to serve to minimize their waiting time). It is accomplished by modeling the yard crane operators as agents that employ reinforcement learning; specifically, q-learning. The proposed agent-based, q-learning model is developed using Netlogo. Experimental results show that the q-learning model is very effective in assisting the yard crane operator to select the next best move. Thus, the proposed q-learning model could potentially be integrated into existing yard management systems to automate the truck selection process and thereby improve yard operations.     

基于偏好函数与深度信念网络的自动化码头AGV实时调度算法

为提高自动化集装箱码头岸桥作业效率、降低自动导引车(Automated Guided Vehicle,AGV)空载行驶距离,以偏好函数和深度信念网络(Deep Belief Network,DBN)为核心设计AGV实时调度算法,完成AGV任务分配指派,优化AGV作业任务序列。利用偏好函数为处于待分配状态的AGV筛选最优集装箱,产生训练样本并更新训练集,通过DBN实时更新集装箱的偏好函数,重复该过程直至集装箱作业完毕。算例分析表明:同两种现行调度规则对比,AGV空载距离和岸桥作业时间显著下降;与人工神经网络(Artificial Neural Network,ANN)相比,DBN可有效提高算法精度与求解效率;算法针对环境动态变化实时分配集装箱,为自动化码头提高效率和降低能耗提供依据。     

集装箱支线运输船舶调度优化问题

调度是制约支线集装箱运输质量和效率的主要瓶颈之一。针对轴辐射海上运输模式,扩展了陆上车辆运输调度(VRP)理论,以所有船舶总的航行成本最低为目标函数,考虑了软时间约束等现实因素,构建了包含枢纽港和喂给港、多航线、多船型的支线集装箱船舶调度模型。基于该问题解的特征运用粒子群算法对模型进行了求解,最后通过仿真算例分析验证了模型的合理性及算法的有效性。     

3C技术在集装箱码头生产中的应用

3C技术改造目标是在现存集装箱码头生产MIS系统基础上，实现全码头生产资源管理的无纸化和无缝隙的数据通讯；实现堆场集装箱定位数据的自动核检；实现堆场轮胎吊作业的动态追踪和码头生产作业链上的全程实时调度管理。经过改造后，露天作业的虚拟现实及远程管理的可视化使得中心调度、现场调度和轮胎吊司机的工作方便快捷、和谐有序。该项目可降低堆场仓储成本6％，提高码头生产效率15％。实践证明，3C技术改造是我国集装箱码头实现港口机械化、信息化和自动化的途径之一。     

An integrated programming model for storage management and vehicle scheduling at container terminals

In this paper, we study the optimization of yard operations, which are critical for the terminal efficiency. A linear mixed integer programming (MIP) model is proposed for scheduling different types of equipment and planning the storage strategy in an integrated way. We also investigate a nonlinear mixed integer programming (NLMIP) model to reduce the number of constraints and the computational time. A set of numerical results are carried out for the comparison between the linear model and the nonlinear model. Finally, we propose a genetic algorithm for the MIP model to illustrate how large scale problems can be solved and to show the effect of different factors on the performances of the optimization model.     

集装箱码头物流路径优化研究

根据集装箱码头的工艺流程,提出了集装箱码头物流路径优化模型。该模型以集卡行走里程最短为目标,在满足集装箱堆场堆存要求和船舶装卸作业要求的情况下,求解集卡最优行走路径。算例计算表明,该优化模型可为码头管理者提供一定决策帮助。     

Modelling and optimisation of online container stacking with operational constraints

Container transportation plays a critical role in the global shipping network and container terminals need to improve their operations to increase efficiency. Storage yard of a container terminal is a temporary area where the containers stay until they are shipped to their next destination. We concentrate on increasing the efficiency of the storage yard by developing online stacking policies for each incoming container. An unproductive move of a container, performed to reach another container stored underneath, is called reshuffling. The objective in container stacking problem is to minimise the number of reshuffles, thereby increasing the efficiency of terminal operations. Additional weight-related operational constraints bring additional complexity to the online stacking decisions. We propose a mathematical model for the optimal online assignment of an incoming export, transit, import or empty container. We also propose an optimal online stacking policy and compare it with a random policy through simulation. Additionally, lower bounds for the performance measures are obtained through simulation by relaxing the operational constraints of the problem in a third stacking policy. We present and discuss the computational results in terms of four main performance measures.     

偏好泊位约束下的集装箱港口离散泊位分配问题*

在集装箱码头中,泊位调度系统是影响码头作业调度的重要环节,而泊位分配问题又是其首要问题。为了揭示 泊位偏好对泊位分配问题的影响,重点从集装箱码头泊位分配问题和基于船舶泊位偏好问题两方面展开研究,为对泊位分 配和泊位偏好进行协同优化配置,建立泊位偏好约束下的多目标混合整数数学模型。并且采用CPLEX进行求解。通过算例 说明模型的有效性,并通过实验分析船舶对泊位的偏好的影响。结果对港口具有的实际应用价值,拓展了对离散型靠泊计 划的研究。     

Competition between the ports of Hong Kong and Singapore: a structural vector error correction model to forecast the demand for container handling services

The objective of this paper is to provide the Hong Kong government with an alternative forecast of container throughput, by studying various interactive relationships between major ports in East and Southeast Asia. As the demand for container handling services is 'derived' from the demand for imports, the resulting market shares for the container handling services gripped by different regions inevitably become a mirror image of the relative competitiveness of their exports. When the markets of the two ports overlap, their market shares will become a function of the prices they charge and how well they meet the needs of the shippers and shipping lines. A vector error correction model (VECM) with structural identification was set up to capture this kind of trade-interdependency and oligopolistic relationship in the East and Southeast Asian market for container handling services. In the course of so-doing, the upward sloping supply curves and downward sloping demand curve for the container handling services provided by Hong Kong and Singapore are identified from the model. Interestingly, the impulse response functions display what is reminiscent of the trade-interdependency and oligopolistic relationship. The forecast of Hong Kong container throughput generated by the structural VECM is then compared with that obtained by the Hong Kong Port Development Board (PDB). The sensitivity analysis shows that, in all possible cases, the structural VECM produces higher growth paths for the Hong Kong container throughput than the PDB does and, hence, suggests an earlier construction of new terminals.     

集装箱码头装卸设备选型及工艺布置

集装箱码头的装卸设备选型主要包括装卸船设备、水平运输设备及堆场装卸设备的选型，工艺布置主要包括码头前沿作业带、堆场分块及道路布置等。本文主要介绍大型集装箱码头的小单车集装箱装卸桥的选型。     

Examining the influence of firm performance on business risk-taking and the mediation effect of scale of operations in the container terminal industry

Container shipping and its related service sectors help accelerate globalization of the world economy. This industry has been experiencing rapid growth, prompting container terminal operators to increase their handling capacity in response. Providing container terminal services requires substantial capital investment in physical assets such as cargo handling facilities and information systems. On the other hand, operating container terminals is a long-term investment that typically spans several business cycles. Hence prudent asset management using appropriate tools is critical for container terminal operators to sustain their businesses. Generally, due to risk-adverseness, investors are unwilling to take more risk in their investment unless they can reap a higher return. Contrary to this argument, this study finds no direct influence of better firm performance as a proxy of higher return on business risk-taking by container terminal operators. Instead, scale of operations is positively associated with business risk-taking, suggesting that container terminal operators with a larger scale of operations are willing to take more business risk.     

集装箱堆场自动化管理研究

介绍上海外高桥二期码头建造的世界一流的全自动、无人化集装箱空箱堆场.该堆场采用具有自主知识产权的高低架RMG与中转平台相结合的接力式集装箱堆场装卸新工艺,结合数字通讯、自动控制技术、三维堆场管理与规划技术,实现对集装箱的高效自动装卸.     

Productivity of first-generation container terminals: Sydney, Australia

In 1969 the first of Sydney's purpose-built container facilities in Port Jackson, the Seatainer terminal, became operational. Later, in 1973, the second terminal at Glebe Island, a common-user facility, shared the task of handling the container traffic for much of eastern Australia until the development of the new facilities in Botany Bay. The two terminals differed in almost every respect except their inner-city locations and restricted sites. This paper explores these differences and their implications for terminal productivity. It examines some of the structural characteristics of the container trade and traffic and defines vessel time profiles and container handling rates for operations over the sample years 1977, 1979 and 1981. The paper establishes that there were remarkably similar productivity characteristics at the two terminals, despite their significant characteristics, but it also reveals the relatively high proportion of vessel alongside time or time spent at the berth that was idle, non-working or unproductive.     

自动化集装箱码头供配电方案

针对目前自动化集装箱码头供电模式经济性、效率及安全性难以兼顾的问题,探讨解决方案。通过研究目前国内外自动化集装箱码头装卸工艺的特点,对比传统码头供配电的模式,提出供配电的多种模式和方案,并进行运行效率和可行性的定性分析及定量计算。最终选择采用后方辅建区新建无人值守变电所,一座变电所对一个泊位独立供电;冷藏箱、AGV充电站环网式箱变就近供电的综合供配电的方案模式,达到供电效率与安全兼顾的目的。该方案成功运用于青岛港自动化码头工程中,可为未来新建自动化码头提供参考。     

高效集装箱码头装卸工艺方案探讨

提出4个与高效岸桥相匹配的高效集装箱码头装卸工艺方案,并进行初步比较。认为:全自动装卸工艺系统将成为现代集装箱码头的重要发展方向。     

中小型集装箱码头装卸工艺模式分析

在分析中小型集装箱码头特性及发展趋势的基础上,分专用集装箱码头、多用途码头、综合性码头三类来研究装卸工艺的适应性,推荐了几种适合中小型集装箱码头特点的、发展前景较好的装卸工艺模式。     

A break-even model for evaluating the cost of container ships waiting times and berth unproductive times in automated quayside operations

The planning, design and development of a container terminal with optimum size and capacity and with a minimum capital cost is fundamentally dependent upon the loading and discharging operations at the quayside. The quayside function of container terminals is dependent basically on the number of berths available to service the incoming container ships. The objective of the container terminals dealing and admitting the ongoing ship calls is to provide immediate berth and loading and discharging services to the container ships with a minimum costly waiting time and a maximum efficiency. Previously terminal planners used to build extra berths to provide service. During the last two decades the terminal operators have adopted automation technologies in loading and discharging operation of the container ships as an alternative to designing extra berths. Ship owners naturally expect least waiting times for their container ships. On the other hand, it is also natural for port operators in a container terminal with costly facilities to see a high berth occupancy and productivity at the quayside. This study uses queuing theory to find a break-even point as a way of evaluating the cost of container ship waiting times and the cost of berth unproductive service times for container terminals aiming to automate their quayside operation. The analysis illustrates that automation devices installed on conventional Quayside Cranes (QSCs) significantly reduce the turnaround time of the container ships calling at the ports. It argues, however, that there should be a balance between the cost of berth unproductive service times and the cost of vessel waiting times. The study introduces a break-even point to be considered as a benchmark for calculating such a balance. The analysis in this study can be used as a decision tool for the operators of container terminals in the medium to small ports to appraise the feasibility of an investment in automation or expansion of the quayside facilities.