考虑碳排放和预约机制的送箱集卡多码头调度问题  被引量:9

Truck Scheduling in Delivering Containers from an Outside Yard to Multiple Container Terminals Considering Carbon Emission and the Truck Appointment System

在线阅读下载全文

作  者:范厚明 郭振峰[1] 李阳 FAN Houming;GUO Zhenfeng;LI Yang(Transportation Engineering College,Dalian Maritime University,Dalian 116026,China;Institute of Strategy Management and System Planning,Dalian Maritime University,Dalian 116026,China)

机构地区:[1]大连海事大学交通运输工程学院,辽宁大连116026 [2]大连海事大学战略管理与系统规划研究所,辽宁大连116026

出  处:《同济大学学报(自然科学版)》2018年第9期1241-1252,1280,共13页Journal of Tongji University:Natural Science

基  金:国家自然科学基金(61473053);辽宁省社会科学规划基金(L16AGL004);辽宁省重点研发计划(2018401002)

摘  要:考虑送箱集卡多码头调度的低碳、高效化要求,及为解决集卡不规律到达导致码头拥挤问题而提出的集卡预约集港机制,以单一外堆场调用送箱集卡数量最小及多集装箱码头调度方案碳排放总量最小为目标,构建了单堆场多码头送箱集卡调度模型.设计了改进的蚁群算法对该模型进行求解,得到按时间段划分的港外堆场多码头集卡低碳送箱方案,通过算例验证了所构建模型和算法的有效性.结果表明,考虑碳排放和预约机制的送箱集卡多码头调度方案所需集卡数量少,工作时间短,兼顾了集装箱码头集卡送箱作业低碳和高效的要求.In consideration of low carbon emission and efficiency when trucks transport containers to multiple container terminals,and truck appointment system which is taken by container terminals to cope with the problem of irregular arrival of trucks,a scheduling model was established for trucks delivering containers from an outside yard to multiple container terminals,with the objective of minimizing the quantity of the dispatched outside yard’s trucks and the total carbon emission of the scheduling plan.A modified ant colony algorithm was designed to solve the model,and the truck scheduling plan for delivering containers from outside container yard to multiple container terminals in different time periods could be determined.Numerical experiments show that the proposed model and designed algorithm are effective.The study demonstrates that the trucks scheduling scheme can reduce the amount of trucks that the yard must hold and truck drivers’working time.Therefore,the trucks scheduling scheme can balance and meet low-carbon emission and truck efficiency requirements.

关 键 词:集卡预约 碳排放 集卡调度 集装箱码头 蚁群算法 

分 类 号:U492.2[交通运输工程—交通运输规划与管理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象