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A Generalized Stochastic Petri Net Approach for Modeling Activities of Human Operators in Intermodal Container Terminals

机译:联运集装箱码头操作员活动建模的广义随机Petri网方法

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This paper proposes a Petri net (PN) representation of the activities performed by the key human operators for unloading/loading containers in an intermodal maritime container terminal (CT) with a low level of automation. These processes are the core of the export, import, and transshipment cycles executed in the terminal. The aim of this paper is to consider both the human component and the material handling resources, e.g., cranes and transporters, by defining an accurate model, which describes how to coordinate humans and use the system resources necessary for serving mother or feeder ships. The developed generalized stochastic PN-based model is of limited complexity and represents a complete, unambiguous, and readable model of the target process before coding it in the target simulation tool. The modular integrated model is tested and validated by the simulation of typical and perturbed scenarios of the Taranto CT, a real terminal that is taken as a case study for its complexity and similarity to CTs with multiple transport modes.
机译:本文提出了Petri网(PN)表示主要人工操作员在自动化程度较低的联运海运集装箱码头(CT)中进行集装箱装卸的活动的方法。这些过程是在终端中执行的导出,导入和转运周期的核心。本文的目的是通过定义一个准确的模型来考虑人为因素和物料搬运资源,例如起重机和运输工具,该模型描述了如何协调人并使用为母船或支线船服务所必需的系统资源。所开发的基于PN的通用随机模型具有有限的复杂性,并且代表了在目标模拟工具中对其进行编码之前对目标过程的完整,明确和可读的模型。通过对Taranto CT的典型和受扰动场景的仿真,对模块化集成模型进行了测试和验证。TarantoCT是一个真实的终端,由于其复杂性和与多种运输方式的CT相似而作为案例研究。

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