基于仿真优化的不确定性条件下集装箱多式联运路径优化  

Simulation Based Optimization of Container Multimodal Transportation Routing under Uncertainty

作　　者：王天旻 魏代梅 王为汉 唐国磊[2] 孙乃壮 吴青谊 WANG Tian-min;WEI Dai-mei;WANG Wei-han;TANG Guo-lei;SUN Nai-zhuang;WU Qing-yi(Shandong Province Communications Planning and Design Institute Group Co.,Ltd.,Jinan 250101,China;State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116024,China)

机构地区：[1]山东省交通规划设计院集团有限公司,济南250101 [2]大连理工大学海岸和近海工程国家重点实验室,大连116024

出　　处：《科学技术与工程》2024年第36期15646-15654,共9页Science Technology and Engineering

基　　金：科技部战略性国际科技创新合作重点专项(2020YFE0201200)。

摘　　要：考虑运输服务时间和中转服务时间的不确定性,探究集装箱多式联运路径优化问题。首先,分析多式联运运输过程中服务时间在不同起运时刻及同一起运时刻的不确定性特征;其次,以中转节点集货时间窗和运到期限时间窗为约束,将起运时刻和运输路径作为决策变量,建立最小化运输成本、中转成本、堆存成本、滞留成本、延迟成本和碳排放成本的多式联运路径优化模型;最后,利用AnyLogic仿真软件建立多式联运运输仿真模型,并联合OptQuest优化求解器求解优化模型。以山东省小清河复航工程为背景,建立山东省与日韩贸易的集装箱多式联运网络及优化模型。通过比较服务时间确定性和不确定性下的多式联运的最优运输路径和起运时刻,认为考虑时间的不确定性是稳定可靠的运输方案,也说明基于仿真优化求解不确定性条件下多式联运路径优化问题的可行性。To explore the optimization problem of container multimodal transportation routing,considering the uncertainty in the process of transportation and transshipment.Firstly,the uncertainty of service time corresponding to different and same departure times in the multimodal transportation process was analyzed.Secondly,a multimodal transportation routing optimization model was established,with the constraints of the time windows for transfer nodes and the delivery deadline,the departure time being a decision variable,and aiming to minimize the sum of transportation costs,transshipment costs,storage costs,in-transit inventory costs,delay costs,and carbon emission-related costs.Finally,a multimodal transportation simulation model was established,and the optimization model was jointly solved to obtain the optimal transportation routing plan considering uncertainty using AnyLogic simulation software and OptQuest optimization solver.Taking the Xiaoqing River Navigation Restoration Project in Shandong Province as an example,a container transportation route between Shandong Province and South Korea and Japan was established.By comparing optimal multimodal transportation routing plans and departure times considering determined and uncertain time,it is found that the optimization plan under uncertainty is a more stable and reliable routing plan.This also demonstrates the feasibility of solving the multimodal transportation routing optimization problem under uncertainty using simulation-based optimization.

关 键 词：多式联运 集装箱 路径优化 时间窗约束 不确定性 

分 类 号：U169[交通运输工程]