Co-Scheduling of Quay Cranes and RTGs in the Container Terminal

L. Chu, Dong Liang, Yupei Zhou, Xiaowei Xu, Yiming Zhang, Zhiying Ruan, Huanbin Xiao, Shiping Zuo
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引用次数: 1

Abstract

As quay cranes and RTGs are vital handling equipment at container terminals, their scheduling optimization would significantly affect the terminal's operation efficiency and costs. Most of the existing literature mainly studies a single quay crane, RTG dispatch, or the joint dispatch of handling equipment and horizontal transportation equipment, and rarely combines handling equipment at both ends for research. This paper breaks through the traditional scheduling mode of quay cranes or RTGs and takes the integrated and coordinated scheduling of quay cranes and RTGs as the research object. The objective is to minimize the operating cost, waiting for time penalty cost of container trucks, and re-stow cost, establish a comprehensive scheduling optimization mathematical model. Firstly, according to the features of the optimization model, this paper will use GA (Genetic algorithm) method to calculate withMATLAB2018b designing its program. Additionally, data collecting is based on the survey of actual operations in the terminal. Lastly, all data analysis will be under the computer experiment, compared to the actual operations data to identify the operating cost of the collaborative scheduling model is greatly reduced, the feasibility of the optimization model, and the reliability of its algorithm.
集装箱码头码头起重机与RTGs的协同调度
作为集装箱码头重要的装卸设备,码头起重机和码头装卸车的调度优化将对码头的运行效率和成本产生重要影响。现有文献大多以单岸起重机、RTG调度或装卸设备与水平运输设备联合调度为主,很少将两端装卸设备结合进行研究。本文突破了传统的码头起重机或码头起重机的调度模式,以码头起重机与码头起重机的集成协调调度为研究对象。以集装箱货车的运行成本、等待时间惩罚成本和再积成本最小为目标,建立综合调度优化数学模型。首先,根据优化模型的特点,本文将使用GA(遗传算法)方法进行计算,并用matlab2018b设计其程序。此外,数据的收集是基于对终端实际操作的调查。最后,将所有的数据分析在计算机下进行实验,与实际运行数据进行对比,确定协同调度模型的运行成本大大降低,优化模型的可行性,以及其算法的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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