文章基本信息

标题：Optimization Model for Truck Appointment in Container Terminals
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作者：Xiaoju Zhang ; Xiaoju Zhang ; Qingcheng Zeng 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2013
卷号：96
页码：1938-1947
DOI：10.1016/j.sbspro.2013.08.219
语种：English
出版社：Elsevier
摘要：AbstractMany ports are facing heavy truck congestion in the terminal, which leads to longer truck waiting time and lower operation efficiency. To alleviate congestion and decrease truck turn time in the container terminal, an optimization model for truck appointment was proposed in this paper. In the model, the appointment quota of each period was optimized subject to the constraints of adjustment quota. And a BCMP queuing network was developed to describe the queuing process of trucks in the terminal. To solve the model, a method based on Genetic Algorithm (GA) and Point wise Stationary Fluid Flow Approximation (PSFFA) was designed. GA was used to search the optimal solution and PSFFA was designed to calculate the truck waiting time. Finally, numerical experiments were provided to illustrate the validity of the model and algorithm. The results indicate that the proposed PSFFA method can estimate the queue length accurately and the model can decrease the truck turn time efficiently.
关键词：Container terminals;truck appointment;queuing network;genetic algorithm