Time: 14:00, May 14th, 2014

Address: F201

Speaker: Prof. Michel Gendreau 

Inviter: Dr. Lu Chen

Abstract:
While Vehicle Routing Problems have now been studied extensively for more than 50 years, those in which some parameters are uncertain at the time where the routes are made have received significantly less attention, in spite of the fact that there are many real-life settings where key parameters are not known with certainty. 
In this talk, we will examine the main classes of Stochastic Vehicle Routing Problems: problems with stochastic demands, stochastic customers, and stochastic service or travel times. We will emphasize the main approaches for modeling and tackling uncertainty: a priori models, a posteriori approaches, and chance-constrained models. The end of the talk will be devoted to a presentation of some of our recent work in the area.

Introduction of Speaker：
Prof. Michel Gendreau received his B.S. from McGill University in 1975; PhD from Université de Montréal in 1984. Michel Gendreau is now a professor in Département de mathématiques et de génie industriel, École Polytechnique de Montreal Canada. He is the Editor of Transportation Science, Area Editor “Stochastic Optimization”, RAIRO - Operations Research, Associate Editor of Journal of Scheduling, Optimization and Engineering and International Transactions in Operational Research. He worked as the Vice-President, of International Federation of Operational Research Societies (2001-2003, 2007-2009), Vice-President of International Affairs of INFORMS (2006-2009), and Vice-President (95-96), President (1996-1998) of the Canadian Operational Research Society. 

Michel Gendreau’s research interests include: operation research and its applications to the field of energy, transportation and logistics; stochastic optimization. He has published more than 200 technical papers.