Dr. Ming Hu. Dynamic Type Matching, (14:00~15:00, May 26, 2016, Thursday) Room N510, Shunde Building 2016.04.07

【Time】14:00~15:00, May 26, 2016 (Thursday) 

【Venue】Room 510, Shunde Building


【Title】  Dynamic Type Matching

【Speaker】Dr. Ming Hu

【Host】Dr. Yang Zhang 

【Abstract】Motivated by the rise of the sharing economy, we consider an intermediary‘s problem of dynamically matching demand and supply of heterogeneous types in a periodic-review fashion. More specifically, there are two disjoint sets of demand and supply types. There is a reward associated with each possible matching of a demand type and a supply type. In each period, demand and supply of various types arrive in random quantities. The platform’s problem is to decide on the optimal matching policy to maximize the total discounted rewards minus costs, given that unmatched demand and supply will incur waiting or holding costs, and will be carried over to the next period with abandonments. For this dynamic matching problem, we obtain a set of distribution-free structural results on the optimal and heuristic matching policies. We proceed to study two important cases of type differentiation: uni-directionally horizontal types and vertical types. Both apply to many emerging settings and also include many classic problems as special cases.

【Bio】Ming Hu is an Associate Professor of Operations Management at Rotman School of Management, University of Toronto. He received a Ph.D. in Operations Research from Columbia University in 2009. His research has been published in leading journals of operations management, including 14 papers in UT Dallas ranking‘s 24 leading journals in business disciplines. His research has received media coverage internationally. He has given more than 40 research seminars at prominent universities including Stanford and MIT. He has consulted for Siemens and Hewlett Packard, and holds 6 patents from his consulting works. He is the recipient of Innovation Research Award by Hewlett-Packard Labs (2008-2010); Honorable Mention, Junior Faculty Interest Group Paper Competition by INFORMS (2014); First Prize, Annual Conference Best Paper Award by Chinese Scholars Association for Management Science and Engineering (2015); and Roger Martin Excellence in Research Award by Rotman School of Management, University of Toronto (2015). Most recently, he focuses on operations management in the context of social buying, crowdfunding, crowdsourcing, and two-sided markets, with the goal to exploit operational decisions to the benefit of the society.

All interested are welcome! 

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