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MIP approaches for the integrated berth allocation and quay crane assignment and scheduling problem

机译:综合泊位分配和码头起重机分配和调度问题的MIP方法

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摘要

In this paper we consider an integrated berth allocation and quay crane assignment and scheduling problem motivated by a real casewhere a heterogeneous set of cranes is considered.A first mathematical model based on the {it relative position formulation} (RPF) for the berth allocation aspects is presented. Then, a new model is introduced to avoid the big-M constraints included in the RPF. This model results from a discretization of the time and space variables.For the new discretized model several enhancements, such as valid inequalities, are introduced.In order to derive good feasible solutions, a rolling horizon heuristic (RHH) is presented.A branch and cut approach that uses the enhanced discretized model andincorporates the upper bounds provided by the RHH solution is proposed.Computational tests are reported to show (i) the quality of the linear relaxation of the enhanced models; (ii)the effectiveness of the exact approach to solve to optimality a set of real instances;and (iii) the scalability of the RHH based on the enhanced mathematical model which isable to provide good feasible solutions for large size instances.
机译:在本文中,我们考虑一个集成的泊位分配和码头起重机分配和调度问题,该分配和由真正的尺寸的问题被认为是异构的起重机。基于泊位分配的{ IT相对位置配方}(RPF)的第一数学模型呈现方面。然后,引入了一种新模型以避免RPF中包含的Big-M约束。该模型由时间和空间变量的离散化结果产生了几种可离散模型的几种增强功能,例如有效的不等式。在订购良好的可行解决方案中,提出了滚动地平线启发式(RHH)。分支和使用增强型离散化模型的切割方法并提出了RHH解决方案提供的上限。报告了对增强型号的线性松弛质量来显示(i)的质量; (ii)确切方法的有效性解决了一组真实情况;(iii)基于增强数学模型的RHH的可扩展性,该模型是用于大尺寸实例提供良好的可行解决方案。

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