卡车
院子
调度(生产过程)
端口(电路理论)
作业车间调度
粒子群优化
工程类
整数规划
容器(类型理论)
计算机科学
运筹学
汽车工程
运营管理
算法
布线(电子设计自动化)
嵌入式系统
电气工程
物理
机械工程
量子力学
作者
Shengyan Zhu,Zheyi Tan,Zhaohui Yang,Lecai Cai
标识
DOI:10.1016/j.aei.2022.101722
摘要
In order to enhance the efficiency of port operations, the scheduling problem of the quay cranes and yard trucks is crucial. Conventional port operation mode lacks optimization research on efficiency of port handling operation, yard truck scheduling, and container storage location. To make quay crane operations and horizontal transportation more efficient, this study uses a dual-cycle strategy to focus on a quay crane and yard truck scheduling problem in conjunction with a mixed storage strategy. A dispatching plan for yard trucks is considered, as well as the storage location of inbound containers. Based on the above factors, a mixed-integer programming model is formulated to minimize vessels’ berth time for completing all tasks. The proposed model is solved using a particle swarm optimization-based algorithm. Validation of the proposed model and algorithm is conducted through numerical experiments. Additionally, some managerial implications which may be potentially useful for port operators are obtained.
科研通智能强力驱动
Strongly Powered by AbleSci AI