考虑能耗的铁水联运集装箱装卸设备协同调度  

Integrated Scheduling of Rail-water Containers Handling Operations in Intermodal Terminals Considering Energy-efficiency

作　　者：杨宜佳 朱晓宁[1] 闫柏丞 姚宇 YANG Yi-jia;ZHU Xiao-ning;YAN Bai-cheng;YAO Yu(School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

机构地区：[1]北京交通大学交通运输学院,北京100044

出　　处：《交通运输系统工程与信息》2018年第6期215-221,共7页Journal of Transportation Systems Engineering and Information Technology

基　　金：国家自然科学基金(重大)(71390332);高等学校博士学科点专项科研基金(20130009110001)~~

摘　　要：随着集装箱港站铁水联运作业量增大,以及节能减排压力与日俱增,实现港站作业设备的高效调度和低能源消耗间的协同优化将是亟待解决的问题.本文研究了集装箱铁水联运港站中多设备间的高能效协同调度问题,基于混合流水车间调度(HFSS)思想,构建了综合考虑岸桥、集卡、正面吊三阶段装卸过程的协同调度模型,以总完成时间最短和能耗最低为目标,设计了基于遗传算法和模拟退火的混合优化算法.通过实验验证了模型和算法的可行性,证明可以实现高能效利用下的港站设备协同调度优化.With the increase of container throughput in intermodal terminals and the increased pressure on energysaving,the trade-off between operational efficiency and energy consumption by handling equipment need to be concerned.This paper addresses the handling scheduling problem of rail-water inbound containers,in order to improve the energy efficiency in intermodal terminals.Based on the hybrid flow shop scheduling problem(HFSS),a bi-objective integrated optimization model is proposed to minimize the total operation time and energy consumption in a three-stage handling operation among quay cranes(QCs),internal trucks(ITs)and reach stackers(RSs).A hybrid optimization algorithm that integrates the genetic algorithm and the simulated annealing algorithm is developed to solve the problem.Computational experiments are conducted to test the effectiveness of the model and the developed method.The result shows that the integrated scheduling optimization solution can be obtained while considering energy-efficiency.

关 键 词：综合交通运输 协同调度 混合优化算法 装卸设备 高能效利用 多式联运港站 

分 类 号：U268.6[机械工程—车辆工程]