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Optimising container processes at multimodal seaport terminals : an integrated approach and application

机译:优化多式​​联运港口码头的集装箱流程:集成方法和应用

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摘要

A Multimodal Seaport Container Terminal (MSCT) is a complex system which requires careful planning and control in order to operate efficiently. It consists of a number of subsystems that require optimisation of the operations within them, as well as synchronisation of machines and containers between the various subsystems. Inefficiency in the terminal can delay ships from their scheduled timetables, as well as cause delays in delivering containers to their inland destinations, both of which can be very costly to their operators. The purpose of this PhD thesis is to use Operations Research methodologies to optimise and synchronise these subsystems as an integrated application. An initial model is developed for the overall MSCT; however, due to a large number of assumptions that had to be made, as well as other issues, it is found to be too inaccurate and infeasible for practical use. Instead, a method of developing models for each subsystem is proposed that then be integrated with each other. Mathematical models are developed for the Storage Area System (SAS) and Intra-terminal Transportation System (ITTS). The SAS deals with the movement and assignment of containers to stacks within the storage area, both when they arrive and when they are rehandled to retrieve containers below them. The ITTS deals with scheduling the movement of containers and machines between the storage areas and other sections of the terminal, such as the berth and road/rail terminals. Various constructive heuristics are explored and compared for these models to produce good initial solutions for large-sized problems, which are otherwise impractical to compute by exact methods. These initial solutions are further improved through the use of an innovative hyper-heuristic algorithm that integrates the SAS and ITTS solutions together and optimises them through meta-heuristic techniques. The method by which the two models can interact with each other as an integrated system will be discussed, as well as how this method can be extended to the other subsystems of the MSCT.
机译:多式联运海港集装箱码头(MSCT)是一个复杂的系统,需要进行仔细的计划和控制才能有效运行。它由许多子系统组成,这些子系统需要优化其中的操作,以及各个子系统之间的机器和容器同步。码头效率低下会导致船舶无法按计划的时间表运行,还会导致将集装箱运送到内陆目的地的延误,这对运营商而言都是非常昂贵的。本博士学位论文的目的是使用运筹学方法论来优化和同步这些子系统,使其成为一个集成的应用程序。为整个MSCT开发了初始模型;但是,由于必须进行大量的假设以及其他问题,因此对于实际使用而言,它太不准确且不可行。相反,提出了一种为每个子系统开发模型的方法,然后将它们彼此集成。为存储区域系统(SAS)和终端内运输系统(ITTS)开发了数学模型。 SAS可以处理容器在存储区域内的移动和分配,无论它们何时到达,以及何时重新处理它们以检索位于其下方的容器。 ITTS负责安排集装箱和机器在码头的存储区域和其他部分(例如泊位和公路/铁路码头)之间的移动调度。对这些模型进行了各种建设性的探索,并进行了比较,从而为大型问题提供了良好的初始解决方案,否则这些问题就无法通过精确的方法进行计算。通过使用创新的超启发式算法将这些初始解决方案进一步改进,该算法将SAS和ITTS解决方案集成在一起,并通过元启发式技术对其进行优化。将讨论这两个模型可以作为一个集成系统彼此交互的方法,以及如何将该方法扩展到MSCT的其他子系统。

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    Casey Bradley Vincent;

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  • 年度 2011
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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