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ZENG Qing-cheng YANG Zhong-zhen 《船舶与海洋工程学报》2007,6(2):44-50
An optimization model for scheduling of quay cranes (QCs) and yard trailers was proposed to improve the overall efficiency of container terminals. To implement this model, a two-phase tabu search algorithm was designed. In the QCs scheduling phase of the algorithm, a search was performed to determine a good QC unloading operation order. For each QC unloading operation order generated during the QC's scheduling phase, another search was run to obtain a good yard trailer routing for the given QC's unloading order. Using this information, the time required for the operation was estimated, then the time of return to availability of the units was fed back to the QC scheduler. Numerical tests show that the two-phase Tabu Search algorithm searches the solution space efficiently, decreases the empty distance yard trailers must travel, decreases the number of trailers needed, and thereby reduces time and costs and improves the integration and reliability of container terminal operation systems. 相似文献
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连续泊位调度与岸桥配置协同优化 总被引:1,自引:0,他引:1
连续泊位调度与岸桥配置协同优化是集装箱码头提升竞争力的关键因素.针对该问题构建一个混合整数规划模型,以构造算法为核心,通过调整船舶的分配次序,设计了一个新的启发式算法.通过VB6.0软件编程,进行了四组大规模仿真算例实验,结果显示60%的算例在新算法下可获得更优的解,平均改进7.37%,证明了模型和算法的有效性. 相似文献
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Nowadays, shipyards are making every effort to efficiently manage their resources such as gantry cranes, transporters, and
block stock yards. The scheduling of block lifting for a gantry crane has been manually performed by an expert shipyard manager
for many years. Such a practice, however, can lead to an undesirably long time to produce scheduling plans. In addition, the
quality of the scheduling plans may not be optimal. To improve the overall process, a block lifting scheduling system for
a gantry crane was developed in this study by using optimization techniques. A block lifting scheduling problem was first
formulated as a multiobjective optimization problem. For a gantry crane, minimization of the traveling distance while unloaded
and wire and shackle replacement between block lifting was considered. An optimization algorithm based on the genetic algorithm
was then proposed and implemented so as to solve the problem. To evaluate the efficiency and applicability of the developed
system, the system was applied to an actual block lifting scheduling problem in a shipyard. Compared to results achieved by
manual scheduling by an expert manager, the results of this work show that blocks can be more efficiently lifted by a gantry
crane when the developed system is applied. 相似文献
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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。 相似文献
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通过对集装箱码头作业过程的分析,运用WITNESS离散仿真技术,将先进的装、卸同时进行的集装箱码头作业新工艺通过离散仿真技术呈现出来,建立装、卸同时进行新工艺下的模拟模型;研究装、卸同时进行新工艺下码头装卸资源配置,将上海洋山港的相关数据带入进行模拟运行,对模拟得到的数据进行分析得到集装箱码头需要配置的桥吊、龙门吊和集卡的合理数量,为集装箱码头实际运作提供理论依据。 相似文献
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根据到港船舶的装卸作业量、最优靠泊位置,为了最小化船舶在港时间、提高客户满意度,对延迟完工的装卸任务量、与最佳靠泊位置的偏离程度设置不同级别的惩罚费用系数;同时为了充分利用岸桥资源,考虑岸桥可在船舶间移动装卸的动态调度,研究连续型泊位下泊位分配-岸桥动态调度的联合优化问题.建立了以最小化延迟完工任务量、偏离最佳靠泊位置和岸桥移动的惩罚费用为目标的整数规划模型,结果可得到船舶靠泊计划,以及具体的岸桥分派计划.通过算例验证了联合调度优化模型对提高集装箱码头作业效率和船公司客户满意度的有效性. 相似文献
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针对自动化集装箱码头锁站布置方式及分配策略,在分析解挂锁作业流程及工艺特点的基础上,提出一种集中式锁站动态布置方法,实现锁站与岸桥作业区的空间隔离;考虑前后缓冲区的设置,提出3级缓冲区管理策略,介绍缓冲区布局形式及相应功能;针对装船挂锁及卸船解锁的作业工艺流程,提出相应锁站动态分配策略,根据锁站及缓冲区作业状态将锁站动态分配给运输车辆。与现有锁站分配及管理方法相比,该策略能够均衡各锁站及缓冲区负载,提高自动化码头装卸船作业效率,为自动化集装箱码头锁站分配及管理提供参考。 相似文献
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以港口岸边集装箱起重机装卸操作过程为研究背景,基于隐马尔科夫模型(HMM),建立双层HMM模型,运用修改后的Forward-Backward算法,计算操作层各个HMM模型的似然度,选择似然度最大的模型作为操作行为的识别结果,组成观察序列串后,送入意图层HMM模型集,进行桥吊司机操作意图的识别。最后,采用Matlab环境实现HMM模型,通过现场统计确定案例基础数据,验证了模型的有效性。结果表明,该模型可准确识别岸边集装箱起重机司机的操作意图,对于研究港口机械智能辅助驾驶系统具有一定的意义。 相似文献
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现代煤炭港口由传统装卸服务向综合物流服务转型过程中,对港口整体调度的智能性与效率性要求提升到新高度,因此需要以系统论的观点解决煤炭港口的联合调度优化问题。针对影响卸车调度的关键问题,综合考虑车流集中到达、列车限制性调度等因素,以现代煤炭港口生产工艺流程为基础,重点研究现代煤炭港口卸车联合调度优化,构建以待车时间最短、作业时间最短且关联堆场作业动态的卸车联合调度优化模型(火车-翻车机-堆场联合调度优化模型),运用相应优化策略,分析优化模型,实现卸车调度各环节智能化的最优解决途径。 相似文献
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Increasing demand for containerization compels container terminals to improve their performance. Uncoordinated scheduling of operations is one of the main factors accounting for poor performance at automated container terminals (ACTs). To increase land utilization efficiency and lower operational times, a new storage system called the split-platform automated storage/retrieval system (SP-AS/RS) has been introduced for temporary storage of containers. This paper describes a multi-objective mixed-integer programming (MIP) model that is based on a combination of multiple interacting sub-tasks. It is aimed at optimizing the integrated scheduling of handling and storage operations in ACTs. The MIP model objective function is to minimize delays in the loading/unloading tasks of the cranes and the travel time of vehicles and platforms in the SP-AS/RS. At the same time, a simulated annealing algorithm (SAA) that provides near-optimal solutions for the problem in a reasonable computation time is appraised. The results of this study show that the objective function of the MIP model is, on average, 58 % lower than that of the non-integrated scheduling method. On the other hand, the best objective function values obtained by the SAA indicate only a 3.7 % disadvantage in comparison with optimal values determined by the MIP model, demonstrating that the SAA is able to provide near-optimal solutions for the integrated scheduling of handling and storage operations. 相似文献
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港口物流企业联盟是近年来发展起来的一种新型的港口物流企业组织形式,对社会和企业有利。介绍了联盟实现方式、组织结构设计原则、运营调度及其优化研究现状,给出了港口物流企业联盟运营调度优化模型建立实例,根据实例的运算结果,证明了该港口物流企业联盟的运营调度优化模式是可行的,在港口物流企业联盟的调度过程中具有一定的实用性。 相似文献
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