Queueing networks for supporting container storage and retrieval

IF 2 Q3 BUSINESS Maritime Business Review Pub Date : 2023-05-10 DOI:10.1108/mabr-01-2023-0009
P. Legato, R. M. Mazza
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Abstract

PurposeAn integrated queueing network focused on container storage/retrieval operations occurring on the yard of a transshipment hub is proposed. The purpose of the network is to support decisions related to the organization of the yard area, while also accounting for operations policies and times on the quay.Design/methodology/approachA discrete-event simulation model is used to reproduce container handling on both the quay and yard areas, along with the transfer operations between the two. The resulting times, properly estimated by the simulation output, are fed to a simpler queueing network amenable to solution via algorithms based on mean value analysis (MVA) for product-form networks.FindingsNumerical results justify the proposed approach for getting a fast, yet accurate analytical solution that allows carrying out performance evaluation with respect to both organizational policies and operations management on the yard area.Practical implicationsPractically, the expected performance measures on the yard subsystem can be obtained avoiding additional time-expensive simulation experiments on the entire detailed model.Originality/valueAs a major takeaway, deepening the MVA for generally distributed service times has proven to produce reliable estimations on expected values for both user- and system-oriented performance metrics.
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用于支持容器存储和检索的排队网络
目的提出了一种针对转运枢纽堆场集装箱存储/检索作业的集成排队网络。该网络的目的是支持与堆场区域组织相关的决策,同时也考虑码头上的操作政策和时间。设计/方法/方法使用离散事件模拟模型来重现码头和堆场区域的集装箱处理,以及两者之间的转移操作。结果时间,通过模拟输出正确估计,被馈送到一个更简单的排队网络,该网络可以通过基于产品形式网络的均值分析(MVA)算法来解决。数值结果证明了所提出的方法可以获得快速而准确的分析解决方案,从而可以对组织政策和堆场区域的运营管理进行绩效评估。实际意义实际上,可以避免对整个详细模型进行额外的耗时的仿真实验,从而获得对堆场子系统的预期性能度量。原创性/价值作为一个主要的收获,深化一般分布式服务时间的MVA已被证明可以对面向用户和面向系统的性能指标的期望值产生可靠的估计。
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来源期刊
CiteScore
4.80
自引率
0.00%
发文量
19
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