Mostly OM

Prof. Shipra Agrawal

Prof. Shipra AgrawalColumbia UniversityTalk: Online revenue management under global convex constraints and objectiveAbstract:We consider a very general model for managing the exploration–exploitation trade-off, which allows global convex constraints and concave objective on the aggregate decisions over time in addition to the customary limitation on the time horizon. This model provides a natu...

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Prof. Alessandro Arlotto

Prof. Alessandro ArlottoDuke UniversityTalk: A Central Limit Theorem for Temporally Non-Homogenous Markov Chains with Applications to Dynamic ProgrammingAbstract:We prove a central limit theorem for a class of additive processes that arise naturally in the theory of finite horizon Markov decision problems. The main theorem generalizes a classic result of Dobrushin for temporally nonhomogeneous ...

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Prof. Baris Ata

Prof. Baris AtaThe University of ChicagoTalk: OrganJet: Overcoming Geographical Disparities in Access to Deceased Donor Kidneys in the United StatesAbstract:There are over 90,000 patients in the United States waiting for a kidney transplant. Under the current allocation policy, the vast majority of deceased organs are allocated locally. This causes significant disparities in waiting times and a...

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Prof. Ying-Ju Chen

Prof. Ying-Ju ChenHong Kong University of Science and TechnologyTalk: Alleviating Poverty via Supply/Value Chain Innovations in Developing Economies: Research Agenda & Progress Repor

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Prof. Yiwei Chen

Prof. Yiwei ChenSingapore University of Technology and DesignTalk: Robust Dynamic Pricing with Strategic CustomersAbstract:We consider the canonical revenue management (RM) problem wherein a seller must sell an inventory of some product over a finite horizon via an anonymous, posted price mechanism. Unlike typical models in RM, we assume that customers are forward looking. In particular, custom...

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Prof. Vivek F. Farias

Prof. Vivek F. FariasMassachusetts Institute of TechnologyTalk: Robust Dynamic Pricing with Strategic CustomersAbstract:We consider the canonical revenue management (RM) problem wherein a seller must sell an inventory of some product over a finite horizon via an anonymous, posted price mechanism. Unlike typical models in RM, we assume that customers are forward looking. In particular, customers...

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Prof. Guillermo Gallego

Prof. Guillermo GallegoHong Kong University of Science and TechnologyTalk: Approximation Algorithms for Product Framing and PricingAbstract:We propose one of the first models of “product framing” and pricing. Product framing refers to the way consumer choice is influenced by how the products are framed or displayed. We present a model in which a set of products is displayed or framed into a s...

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Prof. Shuangchi He

Prof. Shuangchi HeNational University of SingaporeTalk: Data-Driven Patient Scheduling in Emergency DepartmentsAbstract:Emergency care necessitates adequate and timely treatment, which has unfortunately been compromised by crowding in many emergency departments (EDs). To address this issue, we study patient scheduling in EDs so that mandatory targets imposed on each patient’s door-to-provider ...

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Prof. Ming Hu

Prof. Ming HuUniversity of TorontoTalk:Dynamic Type MatchingAbstract:We consider an intermediary’s problem of dynamically matching demand and supply of heterogeneous types in a periodic-review fashion. Specifically, there are two disjoint sets of demand and supply types, and a reward for each possible matching of a demand type and a supply type. In each period, demand and supply of various typ...

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Prof. Shane G. Henderson

Prof. Shane G. HendersonCornell UniversityTalk: (Citi) Bike SharingAbstract:As bike-share systems expand in urban areas, the wealth of publicly available data has drawn researchers to address the novel operational challenges” these systems face. One key challenge is to meet user demand for available bikes and docks by rebalancing the system. This chapter reports on a collaborative effort with ...

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Prof. Krishnamurthy Iyer

Prof. Krishnamurthy IyerCornell UniversityTalk: Mean Field Equilibria for Competitive ExplorationAbstract:We consider a model of nomadic agents exploring and competing for time-varying location-specific resources, arising in crowdsourced transportation services, online communities, and in traditional location based economic activity. This model comprises a group of agents, and a set of location...

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Prof. Linwei Xin

Prof. Linwei XinUniversity of Illinois at Urbana-ChampaignTalk: Beating the curse of dimensionality in inventory problems with lead timesAbstract:Many classical inventory models become notoriously challenging to optimize in the presence of positive lead times, since the state-space blows up and dynamic programming techniques become intractable.  This includes, for example, lost sales models wit...

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