时间：2019年5月28日 19：00

地点：犀浦校区交运楼418学术报告厅

题目: Freight Consolidation Problem with Time Windows, Pickup and Delivery Sequence

考虑时间窗口和取送货顺序的拼货模型

摘要： The number of online market places for freight matching is on the rise. Online market places help small trucking companies find shipping customers. However, they do not provide cargo consolidation strategies. This lack of effective consolidation has adverse effects on the shipping industry and greenhouse gas emission. To that extent, this article addresses Multiple Vehicle Pickup and Delivery Problem with Time Windows (MVPDPTW). We propose a Mixed Integer Programming (MIP) model and a branch-and-cut algorithm geared towards identifying effective freight consolidation opportunities. For emission studies, we used a cost conversion technique from the literature to convert emission levels into monetary values. On real-world logistics company test instances, our model identified routes with lower cost and lower emission levels than the actual routes.

学者简介：Tieming Liu is an associate professor and the graduate program director at the School of Industrial Engineering and Management, Oklahoma State University. He received his doctoral degree in Transportation and Logistics from the Massachusetts Institute of Technology in 2005, his master’s degree in Industrial Engineering and Management Science from Northwestern University in 2001, and his master’s and bachelor’s degrees in Control Theory and Control Engineering from Tsinghua University in 2000 and 1997, respectively. His research interests include supply chain coordination, revenue management, logistics planning, manufacturing scheduling, and resource flexibility planning.

刘铁铭，美国俄克拉荷马州立大学工业工程与管理专业副教授和研究生项目主任。2005年获得美国麻省理工学院交通与物流博士学位。2001年获得美国西北大学工业工程与管理科学硕士学位。2000年获得清华大学控制理论与控制工程专业硕士学位，1997年获得清华大学控制理论与控制工程专业本科学位。研究领域包括供应链协调、收益管理、物流规划、生产调度和资源柔性规划等。