离散事件仿真与智能体仿真在港口集装箱码头性能评价中的比较

Aziz Fajar, R. Sarno, A. Fauzan
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引用次数: 7

摘要

从泗水港口集装箱码头(PCT)获取的事件日志是一个异步事件日志。此事件日志需要在模拟中运行,以反映包含时间和成本的真实世界的性能。从我们收集的事件日志中,我们使用预测方法来预测下一个月的集装箱数量。对几种预测方法进行了评价;而离散事件仿真和基于agent的仿真在处理异步过程方面进行了比较。实验结果表明,与简单指数平滑、双指数平滑和线性回归等预测方法相比,移动平均具有最低的MSE。然后,根据预测结果成功地生成了下一个月的事件日志,并使用基于智能体的模拟和离散事件模拟进行了模拟。仿真结果表明,基于agent的仿真可以处理离散事件仿真无法处理的通信过程。两种模拟结果都用甘特图表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of discrete event simulation and agent based simulation for evaluating the performance of port container terminal
Event log obtained from Port Container Terminal (PCT) Surabaya is an asynchronous event log. This event log needs to be run in a simulation to reflect the real world performance which contains both time and cost. From the event log we gathered, we use forecast methods to predict the number of container for the following month. Several forecasting methods are evaluated; whereas discrete event simulation and agent based simulation are compared to handle asynchronous processes. The results of the experiments show that moving average have the lowest MSE compared to other forecast methods such as Simple Exponential Smoothing, Double Exponential Smoothing, and Linear Regression. Then, from the forecast results we successfully generate the event log for the following month and simulate it using agent based simulation and Discrete Event Simulation. The results of the simulation show that agent based simulation can handle the communication process which discrete event simulation cannot handle. Both the simulation results are depicted in Gantt charts.
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