摘要
通过对船舶进港靠泊作业阶段进行分析,考虑船舶船长、集装箱装卸量、连续型泊位分配情况、岸桥分配调度过程约束等条件,建立了以船舶在港时间最小化和船舶港内油耗最小为目标的双目标函数模型,在此基础上,以天津港过往船舶数据为例,进一步考虑船舶到港时间可协调情况下的作业调度计划,设计了基于快速非支配排序的遗传算法和修复算子进行求解,进而比较不同策略下船舶港内油耗情况,为降低船舶港内排放提供理论基础。
Through analyzing the berthing operation of container ships, considering such constraints as ship length, container loading and unloading capacity, continuous berth allocation, quay crane allocation and scheduling, etc., we established the dual-objective function model aimed to minimize the berthing time and fuel consumption of the ships in port. On this basis, taking the past ship data of Tianjin Port as example, and further considering the operation scheduling plan under the condition that the ship arrival time could be coordinated, we developed a genetic algorithm based on NSGA-Ⅱ and the repair operator for its solution. At the end, we compared the fuel consumption of the ships in port under different strategies, providing a theoretical basis for emissions reduction of the ships in port.
作者
曾庆光
董明望
辜勇
Zeng Qingguang;Dong Mingwang;Gu Yong(Wuhan University of Technology,Wuhan 430063,China)
出处
《物流技术》
2020年第11期95-101,141,共8页
Logistics Technology
基金
国家重点研发计划“绿色船舶和绿色港口海洋环境安全保障服务技术与标准研究”(2018YFC1407405)。
关键词
碳排放
集装箱码头
作业调度
船舶排放
调度优化
carben emissions
container terminal
operation scheduling
ship emissions
scheduling optimization