容器(类型理论)
运筹学
到达时间
整数规划
规划师
计算机科学
时间范围
终端(电信)
线性规划
数学优化
运输工程
工程类
数学
计算机网络
算法
人工智能
机械工程
作者
Armi Kim,Hyun Ji Park,Jinhyoung Park,Sung Won Cho
摘要
The rapid increase in international trade volume has caused frequent fluctuation of the vessels’ arrival time in container terminals. In order to solve this problem, this study proposes a methodology for rescheduling berth and quay cranes caused by updated information on the arrival time of vessels. A mixed-integer linear programming model was formulated for the berth allocation and crane assignment problem, and we solved the problem using a rolling-horizon approach. Numerical experiments were conducted under three scenarios with empirical data from a container terminal located in Busan, Korea. The experiments revealed that the proposed model reduces penalty costs and overall delayed departure time compared to the results of the terminal planner.
科研通智能强力驱动
Strongly Powered by AbleSci AI