火车
解算器
堆栈(抽象数据类型)
整数规划
容器(类型理论)
计算机科学
序列(生物学)
分类
线性规划
工作(物理)
运筹学
综合业务规划
数学优化
工程类
算法
操作系统
经济
数学
地理
程序设计语言
管理
遗传学
生物
机械工程
地图学
作者
Moritz Ruf,Jean‐François Cordeau,Emma Frejinger
标识
DOI:10.1016/j.jrtpm.2022.100337
摘要
This paper addresses the integrated load planning and sequencing problem (LPSP) for double-stack trains. This decision-making problem occurs in intermodal terminals and consists in assigning containers from a storage area to slots on railcars of outbound trains and in determining the loading sequence of the handling equipment. Even though this a relevant operational problem, it has seen no attention in the operations research literature so far. Prior models either focus on single-stack railcars or treat the load planning and sequencing separately. By extending prior work on load planning, we propose two different integer linear programming formulations. We show by an extensive numerical study that we are able to solve instances with up to 50 containers with a commercial general-purpose solver in less than 20 min. A case study based on real data provided by the Canadian National Railway Company highlights that the LPSP can reduce the number of container handlings in intermodal terminals compared to sequential solutions by on average 11.3% and 16.5% for gantry cranes and reach stackers, respectively.
科研通智能强力驱动
Strongly Powered by AbleSci AI