汽车与交通学院科研工作大讨论系列学术报告—Berth Capacity Optimization under Uncertain Arrivals: A Finite-Buffer Queueing Model with Finite Non-Preemptive Priority

报告人：张涛  教授博士生导师中国石油大学（华东）

时   间：2026年5月25日（周一）13:00-15:00

地   点：西华大学郫都校区5D-216

主办单位：汽车与交通学院、汽车测控与安全四川省重点实验室、新能源汽车智能控制与仿真测试技术四川省工程研究中心、四川智能及新能源汽车产业学院

报告人简介

         张涛，中国石油大学（华东）教授、博士生导师，本硕毕业于中国石油大学（华东）经济管理学院，博士毕业于上海交通大学、是美国纽约大学石溪分校访问学者，国内外多本专业期刊编委。长期从事油气田运营管理、系统工程和社会科学的交叉研究工作，先后主持或参与中国石油科技部、新疆油田、长庆油田、西南油气田、大港油田、华北油田；中石化勘探开发研究院、胜利油田等油气田软科学研究课题40余项，获得各项软科学奖励20余项，近五年在国内外期刊发表论文50余篇。

报告主要内容

    Oil terminals face increasing operational challenges due to uncertain tanker arrivals and stringent safety requirements. Fluctuating arrival patterns, together with the varying risk levels of transported cargo, make berth allocation both complex and critical for terminal management. We investigate the berth allocation problem under uncertain arrivals by developing a robust optimization framework. Tankers are classified as high-priority or regular according to their risk levels and operational importance, and a finite-priority mechanism is introduced to ensure timely service for high-priority tankers while maintaining overall system stability. The system is formulated as a multi-server queuing model with finite capacity and finite non-preemptive priority discipline. The proposed framework provides a robust decision-support tool for port operations under uncertainty and offers practical insights into managing service heterogeneity, cost efficiency, and safety requirements in complex port environments.