学术报告第201431期

报告题目：Stochastic service network design with rerouting

报 告 人： Ruibin Bai 教授 英国诺丁汉大学（宁波）

报告时间： 2014年12月3日10：00

报告地点： 南一楼中311会议室

邀 请 方：“多谱信息处理技术”国家级重点实验室

Abstract（摘要）: Service network design  under uncertainty is fundamentally crucial for all freight transportation  companies. The main challenge is to strike a balance between two conflicting  objectives: low network setup costs and low expected operational costs. Together  these have a significant impact on the quality of freight services. Increasing  redundancy at crucial network links is a common way to improve network  flexibility. However, in a highly uncertain environment, a single predefined  network is unlikely to suit all possible future scenarios, unless it is  prohibitively costly. Hence, rescheduling is often an effective alternative. In  this research, we proposed a new stochastic freight service network design model  with vehicle rerouting options. The proposed model explicitly introduces a set  of integer variables for vehicle rerouting in the second stage of the stochastic  program. Although computationally more expensive, the resultant model provides  more options (i.e.\ rerouting) and flexibility for planners to deal with  uncertainties more effectively. The new model was tested on a set of instances  adapted from the literature and its performance and characteristics are studied  through both comparative studies and detailed analyses at the solution structure  level. Implications for practical applications are discussed and further  research directions are also provided.

Short  bio （个人简介）

Dr Ruibin Bai holds BSc and MSc degrees  from Northwestern Polytechnic University, China (1999 and 2002) and a PhD from  The University of Nottingham, UK (2005). He is currently an associated professor  and director of the Computational Intelligence in Optimisation (CIO) research  group in the School of Computer Science, University of Nottingham Ningbo China.  His current research interests include computational intelligence, machine  learning, operations research, modelling, scheduling and optimisation with a  special focus on transportation systems. He has published over 30 academic  papers in leading journals (including IEEE TEC, TRB, INFORMS JOC, EJOR, TRE,  etc.) and international conferences. One of conference papers won the best paper  award in ACM GEC 2009 and another paper was the best paper award finalist in  IEEE SSCI 2013. He is the principal investigator for 7 external grants (3 from  NSFC) and a co-investigator for 4 other major funds, with total funds over RMB  12m.