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.
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