Real-Time Operational Strategies for Truckload Pickup and Delivery Problems
When information on jobs is gradually known in the course of the systems operation, real-time techniques become increasingly important. The paper introduces a generic real-time trucldoad pickup and delivery problem, which includes the consideration of various costs associated with trucks empty travel distances, jobs delayed completion times, and job rejections. A mixed integer programming formulation for the off-line version of the problem is proposed. Then three rolling horizon strategies are considered and compared for the real-time version. The comparison of the policies is done under a general simulation framework. The new re-optimization policy is shown to systematically outperform the others.
Fleet assignment real-time scheduling strategies off-line.
Changfeng Zhou Yan Liu Yuejin Tan Liangcai Liao
College of Information System and Management, National University of Defense Technology, Changsha, 410073, China
国际会议
Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)
北京
英文
897-902
2006-07-17（万方平台首次上网日期，不代表论文的发表时间）