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Container handling algorithms and outbound heavy truck movement modeling for seaport container transshipment terminals.

机译:海港集装箱转运码头的集装箱装卸算法和重型卡车出站建模。

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摘要

This research is divided into four main parts. The first part considers the basic block relocation problem (BRP) in which a set of shipping containers is retrieved using the minimum number of moves by a single gantry crane that handles cargo in the storage area in a container terminal. For this purpose a new algorithm called the look ahead algorithm has been created and tested. The look ahead algorithm is applicable under limited and unlimited stacking height conditions. The look ahead algorithm is compared to the existing algorithms in the literature. The experimental results show that the look ahead algorithm is more efficient than any other algorithm in the literature.;The second part of this research considers an extension of the BRP called the block relocation problem with weights (BRP-W). The main goal is to minimize the total fuel consumption of the crane to retrieve all the containers in a bay and to minimize the movements of the heavy containers. The trolleying, hoisting, and lowering movements of the containers are explicitly considered in this part. The twelve parameters to quantify various preferences when moving individual containers are defined. Near-optimal values of the twelve parameters for different bay configurations are found using a genetic algorithm.;The third part introduces a shipping cost model that can estimate the cost of shipping specific commodity groups using one freight transportation mode-trucking- from any origin to any destination inside the United States. The model can also be used to estimate general shipping costs for different economic sectors, with significant ramifications for public policy.;The last part mimics heavy truck movements for shipping different kinds of containerized commodities between a container terminal and different facilities. The highly detailed cost model from part three is used to evaluate the effect of public policies on truckers' route choices. In particular, the influence of time, distance, and tolls on truckers' route selection is investigated. .
机译:本研究分为四个主要部分。第一部分考虑了基本的块重定位问题(BRP),在该问题中,由单个龙门起重机以最少的移动次数检索一组运输集装箱,该起重机在集装箱码头的存储区域中处理货物。为此,已经创建并测试了一种称为前瞻算法的新算法。前瞻算法适用于有限和无限的堆叠高度条件。将前瞻算法与文献中的现有算法进行了比较。实验结果表明,该预见算法比文献中的任何其他算法都更有效。;本研究的第二部分考虑了BRP的扩展,即具有权重的块重定位问题(BRP-W)。其主要目的是使起重机的总燃料消耗最小化,以回收一个托架中的所有集装箱,并使重型集装箱的移动最少。在此部分中明确考虑了容器的小车,提升和下降运动。定义了十二个参数,用于量化移动各个容器时的各种偏好。使用遗传算法找到不同舱位配置的十二个参数的最佳值。第三部分介绍了一种运输成本模型,该模型可以使用一种货运模式从任何来源运输到任何来源,估计特定商品组的运输成本美国境内的任何目的地。该模型还可以用于估计不同经济部门的一般运输成本,并对公共政策产生重大影响。最后一部分模拟重型卡车在集装箱码头和不同设施之间运输各种集装箱货物的动作。第三部分中非常详细的成本模型用于评估公共政策对卡车司机路线选择的影响。特别是,研究了时间,距离和通行费对卡车司机选择路线的影响。 。

著录项

  • 作者

    Hussein, Mazen Ibrahim Jad.;

  • 作者单位

    The University of Wisconsin - Milwaukee.;

  • 授予单位 The University of Wisconsin - Milwaukee.;
  • 学科 Engineering Industrial.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 233 p.
  • 总页数 233
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:42:26

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