东南大学经济管理学院专题讨论（Seminar）登记表
报告题目 | Train Design and Routing Optimization for Evaluating Criticality of Freight Railroad Infrastructures | ||||
报告人（单位） |
Prof Jin Mingzhou, University of Tennessee | ||||
点评人（单位） | 舒嘉 | 点评人（单位） | | ||
时间地点 | 时间：2015年6月25日（周四）下午3:30 地点：九龙湖经管楼B-201 | ||||
报告内容摘要 | | ||||
报告内容：Freight transportation by railroads is an integral part of the U.S. economy. Identifying critical rail infrastructures can help stakeholders prioritize protection initiatives or add necessary redundancy to maximize rail network resiliency. The criticality of an infrastructure element, link or yard, is based on the increased cost (delay) incurred when that element is disrupted. An event of disruption can cause heavy congestion so that the capacity at links and yards should be considered when freight is re-routed. This paper proposes an optimization model for making-up and routing of trains in a disruptive situation to minimize the system-wide total cost, including classification time at yards and travel time along links. Train design optimization seeks to determine the optimal number of trains, their routes, and associated blocks, subject to various capacity and operational constraints at rail links and yards. An iterative heuristic algorithm is proposed to attack the computational burden for real-world networks. The solution algorithm considers the impact of volume on travel time in a congested or near-congested network. The proposed heuristics provide quality solutions with high speed, demonstrated by numerical experiments for small instances. A case study is conducted for the network of a major U.S. Class-I railroad based on publicly available data. The paper provides maps showing the criticality of infrastructure in the study area from the viewpoint of strategic planning. 报告人简介： Prof Jin is an Associate Professor and Associate Head at University of Tennessee, Dept of Industrial and Systems Engineering. He is also the Director of the Reliability and Maintainability Engineering Program.
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