考虑混合工艺的自动化码头多设备资源协同调度优化模型和算法设计  

Optimal Model and Algorithm Design for the Multi-Equipment Resource Collaborative Scheduling of Automated Terminals Considering the Mixing Process

作　　者：初良勇 梁冬 周于佩 章嘉文 Liangyong Chu;Dong Liang;Yupei Zhou;Jiawen Zhang(Modern Logistics Research Center,Jimei University,Xiamen 361021,China)

机构地区：[1]Modern Logistics Research Center,Jimei University,Xiamen 361021,China

出　　处：《哈尔滨工程大学学报（英文版）》2024年第2期479-490,共12页Journal of Marine Science and Application

基　　金：supported by the National Key R&D Program of China(Grant No.2017YFC0805309);Natural Science Foundation of Fujian Province(Grant No.2021J01820);Department of Education of Fujian Province Project(Grant Nos.JAT190294 and JAT210230).

摘　　要：Considering the uncertainty of the speed of horizontal transportation equipment,a cooperative scheduling model of multiple equipment resources in the automated container terminal was constructed to minimize the completion time,thus improving the loading and unloading efficiencies of automated container terminals.The proposed model integrated the two loading and unloading processes of“double-trolley quay crane+AGV+ARMG”and“single-trolley quay crane+container truck+ARMG”and then designed the simulated annealing particle swarm algorithm to solve the model.By comparing the results of the particle swarm algorithm and genetic algorithm,the algorithm designed in this paper could effectively improve the global and local space search capability of finding the optimal solution.Furthermore,the results showed that the proposed method of collaborative scheduling of multiple equipment resources in automated terminals considering hybrid processes effectively improved the loading and unloading efficiencies of automated container terminals.The findings of this study provide a reference for the improvement of loading and unloading processes as well as coordinated scheduling in automated terminals.

关 键 词：Automated terminal Collaborative scheduling Hybrid process Simulated annealing particle swarm algorithm UNCERTAINTY Scheduling Solutions 

分 类 号：U691.3[交通运输工程—港口、海岸及近海工程]