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Prof. Mohsen Bayati

Prof. Mohsen BayatiStanford UniversityTalk:Optimizing Healthcare Decisions using High Dimensional DataAbstract:Big data has enabled decision-makers to tailor decisions at the individual-level in a variety of domains such as personalized medicine and online advertising. This involves learning a model of decision rewards conditional on individual-specific covariates. In many practical settings, t...

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Prof. David B. Brown

Prof. David B. BrownDuke UniversityTalk:Information Relaxation Bounds for Infinite Horizon Markov Decision ProcessesAbstract:We consider the information relaxation approach for calculating performance bounds for stochastic dynamic programs (DPs), following Brown et al. [Brown DB, Smith JE, Sun P (2010) Information relaxations and duality in stochastic dynamic programs. Oper. Res. 58(4, Part 1):...

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Prof. Xin Chen

Prof. Xin ChenUniversity of Illinois at Urbana-ChampaignTalk:L-Natural-Convexity and its Applications in Operations ModelsAbstract:L-convexity, one of the central concepts in discrete convex analysis, receives significant attentions in the operations literature in recent years as it provides a powerful tool to derive structures of optimal policies and allows for efficient computational procedur...

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Prof. Annabelle Feng

Prof. Annabelle FengPurdue UniversityTalk:Managing Dependent Random Supply Capacities in Dynamic Inventory-Pricing ProblemsAbstract:Supply uncertainty has been a major consideration in formulating firms’ sourcing strategy. Most work in this area assumes independent supply streams from different sources, though in reality the dependence among different sources are commonly observed. This is mai...

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Prof. Varun Gupta

Prof. Varun GuptaUniversity of ChicagoTalk:Online Stochastic Bin PackingAbstract:Bin packing is an algorithmic problem that arises in diverse applications such as remnant inventory systems, shipping logistics, and appointment scheduling. In its simplest variant, a sequence of T items (e.g., orders for raw material, packages for delivery) is revealed one at a time, and each item must be packed o...

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Prof. Michael L. Pinedo

Prof. Michael L. PinedoNew York UniversityTalk:Recent Advances in Planning and Scheduling in the Service Industrie

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Prof. J. George Shanthikumar

Prof. J. George ShanthikumarPurdue UniversityTalk:Dynamic Supply Contracts When the Supplier’s Production Capacity is UncertainAbstract:We study the effect of upstream supply capacity uncertainty on the inventory decisions in a two-stage supply chain. In each period, the retailer places an order to the supplier aiming to meet an uncertain demand. The supplier in turn issues a production order ...

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Prof. Haipeng Shen

Prof. Haipeng ShenUniversity of North Carolina at Chapel HillTalk:Parametric Forecasting and Stochastic Programming Models for Call-Center Workforce SchedulingAbstract:We develop and test an integrated forecasting and stochastic programming approach to workforce management in call centers. We first demonstrate that parametric forecasts can be used to drive stochastic programs whose results are ...

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Prof. Francis de Vericourt

Prof. Francis de VericourtESMT European School of Management and TechnologyTalk:Financing Capacity Investment Under Demand UncertaintyAbstract:We study the capacity choice problem of a firm whose access to capital is hampered by financial frictions (i.e., moral hazard). The firm optimizes both its capacity investment under demand uncertainty and its sourcing of funds from a competitive investor...

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Prof. Fuqiang Zhang

Prof. Fuqiang ZhangWashington University in Saint LouisTalk:Recent Progresses on Process Flexibilit

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Prof. Yuan Zhong

Prof. Yuan ZhongColumbia UniversityTalk:Stochastic dynamic bin packing with applications to cloud computingAbstract:We present a new class of bin packing models, so-called large-scale stochastic dynamic bin packing, which are primarily motivated by the problem of virtual machine placement into physical servers in cloud computing clusters. A key performance objective is to minimize the total num...

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