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Optimisation des mouvements des conteneurs dans un terminal maritime.

机译:优化海上码头的集装箱运输。

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摘要

Most of the researchers have shown the importance and the value of scheduling and optimization problems in a maritime terminal. In this work, we focus on the optimization problem for loading operations of outbound containers. Thus, the sequencing of each yard crane and of each yard truck is studied at the same time. Furthermore, we consider the possibility of potential interferences between yard cranes and rehandles which significantly influence the performance of yard cranes. In the literature about yard crane scheduling problems, there is no work that combines interference between yard cranes and rehandles at the same time which is the innovation point of our work.;The scheduling problem for loading operations is formulated as a mixed linear program model. The objective function is to minimize the makespan of loading operations by yard cranes. The mathematical model is based on various assumptions and it includes the potential interferences and the rehandle.;A heuristic method is developed for solving this problem, namely Adaptive Large Neighborhood Search (ALNS). This method has the potential to handle with optimization problems in a container terminal. In fact, the ALNS method is deemed to be efficient with different scale problems: 10, 20 and 100 containers. The data are fictitious and many instances are built by varying the number of containers or/and the number of equipments (yard crane and yard truck) in each time. Computational tests are made to evaluate the efficiency of the developed algorithm (ALNS) for that we used multiple strategies where we made different combinations of removal and insertion heuristics. These numerical results show the quality of solutions produced by ALNS method.;Keywords: container terminal, optimization, scheduling operations, adaptive large neighborhood search, mixed linear program.
机译:大多数研究人员已经表明了海上码头调度和优化问题的重要性和价值。在这项工作中,我们专注于出站容器的加载操作的优化问题。因此,同时研究了每个堆场起重机和每个堆场卡车的排序。此外,我们考虑了院子起重机与重新操作之间潜在干扰的可能性,这些干扰会严重影响院子起重机的性能。在关于堆场起重机调度问题的文献中,没有一项工作将堆场起重机之间的干扰与重新处理同时进行,这是我们工作的创新点。;装载作业的调度问题被表述为混合线性规划模型。目标功能是最大程度地减少堆场起重机进行装载作业的时间。该数学模型基于各种假设,包括潜在的干扰和处理。开发了一种启发式方法来解决此问题,即自适应大邻域搜索(ALNS)。该方法具有处理集装箱码头中的优化问题的潜力。实际上,ALNS方法被认为是有效的,可以解决各种规模问题:10、20和100个容器。数据是虚拟的,并且通过改变每次的集装箱数量或/和设备数量(堆场起重机和堆场卡车)来建立许多实例。进行了计算测试,以评估所开发算法( ALNS )的效率,因为我们使用了多种策略,其中对删除和插入启发法进行了不同组合。这些数值结果表明了 ALNS 方法产生的解决方案的质量。关键词:集装箱码头,优化,调度操作,自适应大邻域搜索,混合线性程序。

著录项

  • 作者

    Chebli, Khaoula.;

  • 作者单位

    Ecole Polytechnique, Montreal (Canada).;

  • 授予单位 Ecole Polytechnique, Montreal (Canada).;
  • 学科 Engineering Industrial.;Engineering Marine and Ocean.;Biophysics Medical.;Operations Research.
  • 学位 M.Sc.A.
  • 年度 2012
  • 页码 119 p.
  • 总页数 119
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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