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Minimum Vehicle Fleet Size Under Time-Window Constraints at a Container Terminal

机译:集装箱码头在时间窗约束下的最小车队规模

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Products can be transported in containers from one port to another. At a container terminal these containers are transshipped from one mode of transportation to another. Cranes remove containers from a ship and put them at a certain time (i.e., release time) into a buffer area with limited capacity. A vehicle lifts a container from the buffer area before the buffer area is full (i.e., in due time) and transports the container from the buffer area to the storage area. At the storage area the container is placed in another buffer area. The advantage of using these buffer areas is the resultant decoupling of the unloading and transportation processes. We study the case in which each container has a time window [release time, due time] in which the transportation should start. The objective is to minimize the vehicle fleet size such that the transportation of each container starts within its time window. No literature has been found studying this relevant problem. We have developed an integer linear programming model to solve the problem of determining vehicle requirements under time-window constraints. We use simulation to validate the estimates of the vehicle fleet size by the analytical model. We test the ability of the model under various conditions. From these numerical experiments we conclude that the results of the analytical model are close to the results of the simulation model. Furthermore, we conclude that the analytical model performs well in the context of a container terminal.
机译:产品可以用容器从一个港口运输到另一个港口。在集装箱码头,这些集装箱从一种运输方式转运到另一种运输方式。起重机从船上卸下集装箱,并在一定时间(即放行时间)将其放入容量有限的缓冲区。车辆在缓冲区域装满之前(即在适当的时间之前)从缓冲区域举起容器,并将容器从缓冲区域运输到存储区域。在存储区域中,容器被放置在另一个缓冲区中。使用这些缓冲区的优势是卸载和运输过程的解耦。我们研究了每个容器都有一个时间窗口[释放时间,到期时间]的情况,在该时间窗口中应该开始运输。目的是使车队规模最小化,以使每个集装箱的运输在其时间窗口内开始。尚未找到研究此相关问题的文献。我们开发了一个整数线性规划模型来解决在时间窗约束下确定车辆需求的问题。我们使用模拟来通过分析模型验证车辆车队规模的估计。我们在各种条件下测试模型的能力。通过这些数值实验,我们得出结论,分析模型的结果与仿真模型的结果接近。此外,我们得出的结论是,分析模型在集装箱码头的情况下表现良好。

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