摘要
针对集装箱码头物流系统(containerterminallogisticssystems,CTLS)的自身特点和运营需求,根据当前国内外已有的相关研究及其发展趋势,提出了面向CTLS的仿真优化完整方法体系,并给出利用哈佛体系结构、基于Agent的计算、混合智能优化和企业服务总线的参考设计实现模型,以期为CTLS的设备配置、资源分配、生产计划和调度控制获得高效敏捷鲁棒的解决方案。通过对码头前沿泊位-岸桥联合调度生产实例的仿真、优化和分析,验证了所提思想的可行性与可信性。
Aimed at the characteristics and requirements of container terminal logistics systems （CTLS）, a full framework and architecture of simulation-based optimization for CTLS is advanced on the basis of the foregone studies and the current developing trend, and furthermore the relevant referenced design and implementation model is put forward with Harvard architecture, agent-based computing, hybrid intelligent optimization and enterprise service bus, which is supposed to provide an efficient, agile and robust solution to equipment configuration, resource allocation, production planning and control scheduling for CTLS. Finally, a practical case for berth ＆ quay crane allocation on the quay side is simulated, optimized and analyzed, which validated the feasibility and creditability of the above architecture and methodology accordingly.
出处
《计算机工程与设计》
CSCD
北大核心
2011年第11期3814-3818,共5页
Computer Engineering and Design
基金
教育部人文社会科学研究青年基金项目(11YJC630089)
福建省教育厅A类科技基金项目(JA10214)
福建工程学院科研启动基金项目(GY-Z10005)
