Optimizing the rail transportation of hazardous materials with considerations of travel speed and demand due date

发布者:唐迪明发布时间:2018-11-28浏览次数:316

报告人:Ginger Y. Ke (柯奕)副教授

主持人:罗志兴副教授

BIOGRAPHY:

Dr. GingerY. Ke is currently an Associate Professor in the Faculty of BusinessAdministration at the Memorial University of Newfoundland and an AdjunctAssistant Professor in the Department of Management Sciences at the Universityof Waterloo. She holds a PhD in Management Sciences and an MASc in SystemsDesign Engineering from University of Waterloo, a BComm in Finance andManagement Sciences from University of Windsor, and a BEng in Management InformationSystem from Jinan University.

Dr. Ke’sresearch focuses on 1) managing the transportation of hazardous materials and2) the application of game theory to logistics and supply chain management. In2015, her research project entitled “Transportation of Hazardous Materials:Management, Coordination, and Optimization” has received a Discovery Grant fromCanadian Natural Sciences and Engineering Research Council of Canada (NSERC).She has published research articles in various highly respected internationaljournals, including EuropeanJournal of Operational Research, Journal of theOperational Research Society, International Journal of Production Economics,International Journal of Production Research, Transportation Research, etc. Inaddition, she is an active reviewer for many journals and conferences, such as Productionand Operations Management, Transportation Research, International Journal ofProduction Research, Applied Mathematics and Computation, and Naval ResearchLogistics, to name a few.

 

Abstract:

This study investigatesthe routing and scheduling of rail shipments of hazardous materials (hazmat) inthe presence of due dates. In particular, we consider the problem of minimizingthe weighted sum of earliness and tardiness for each demand plus the holdingcost at each yard, while forcing a risk threshold on each service leg at anytime instant. FRA accident records, between 1999 and 2013, were analyzed toestablish that train speed was the most significant factor in derailment. Amixed-integer programming model and two heuristic-based solution methods areproposed for preparing the shipment plan. Finally, the analytical framework isused to study and analyze a number of realistic-sized problem instancesgenerated using the infrastructure of a Class I railroad operator.

时间:2018年10月31日(周三)14:00-15:30

地点:工程管理学院北楼报告厅