Multi-Layer Scheduling Optimization For Intelligent Mobility Of Maritime Operation

PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020)(2020)

引用 0|浏览22
暂无评分
摘要
In this study, multi-layer scheduling optimization algorithms are proposed and validated based on historical vessel operation data in maritime terminals. The most relevant KPIs are average wait time, average turnaround time and berth occupancy rate presented in this study. Through the proposed optimization algorithms, the results shown that average wail time and turnaround time are significantly reduced with increasing of randomness threshold, which is a threshold to allow reschedules to buffer terminals. The average wait time and turnaround time are shortened by around 27.30 hrs (by 39.06%) and 39.41 hrs (by 27.18%), respectively. The berth occupancy rate of less utilized buffer terminals is also improved from 21.39% to 38.35%.
更多
查看译文
关键词
Big Data, Automatic Identification System, Scheduling, Optimization Algorithms, Maritime KPIs
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要