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Browsing Operations Research Center by Issue Date

Research and Teaching Output of the MIT Community

Browsing Operations Research Center by Issue Date

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  • Cheung, Wang Chi (Massachusetts Institute of Technology, 2017)
    In this thesis, we propose algorithms for solving revenue maximization and inventory control problems in data-driven settings. First, we study the choice-based network revenue management problem. We propose the Approximate ...
  • Eschenfeldt, Patrick Clark (Massachusetts Institute of Technology, 2017)
    In the study of queueing systems, a question of significant current interest is that of large scale behavior, where the size of the system increases without bound. This regime has becoming increasingly relevant with the ...
  • Shi, Chuan; Gershwin, Stanley B. (Massachusetts Institute of Technology, Operations Research Center, 2016-08-23)
  • Rajagopalan, Krishnan, S.M. Sloan School of Management (Massachusetts Institute of Technology, 2016)
    An agent wants to form a connection with a predetermined set of target users over social media. Because forming a connection is known as "following" in social networks such as Twitter, we refer to this as the follow-back ...
  • Grigas, Paul (Paul Edward) (Massachusetts Institute of Technology, 2016)
    We present several contributions at the interface of first-order methods for convex optimization and problems in statistical machine learning. In the first part of this thesis, we present new results for the Frank-Wolfe ...
  • Remorov, Alexander (Massachusetts Institute of Technology, 2016)
    The problem of investing over time remains an important open question, considering the recent large moves in the markets, such as the Financial Crisis of 2008, the subsequent rally in equities, and the decline in commodities ...
  • Mundell, Lee Carter (Massachusetts Institute of Technology, 2016)
    The rapid growth of the availability of wearable biosensors has created the opportunity for using physiological signals to measure worker performance. An important question is how to use such signals to not just measure, ...
  • Lee, Peter Alexander (Massachusetts Institute of Technology, 2016)
    Substantial progress has been made in the estimation of sparse high dimensional precision matrices from scant datasets. This is important because precision matrices underpin common tasks such as regression, discriminant ...
  • Mišić, Velibor V (Massachusetts Institute of Technology, 2016)
    Modern business decisions exceed human decision making ability: often, they are of a large scale, their outcomes are uncertain, and they are made in multiple stages. At the same time, firms have increasing access to data ...
  • Dunning, Iain Robert (Massachusetts Institute of Technology, 2016)
    Optimization in the presence of uncertainty is at the heart of operations research. There are many approaches to modeling the nature of this uncertainty, but this thesis focuses on developing new algorithms, software, and ...
  • Shaposhnik, Yaron (Massachusetts Institute of Technology, 2016)
    Motivated by several core operational applications, we introduce a class of multistage stochastic optimization models that capture a fundamental tradeoff between performing work under uncertainty (exploitation) and investing ...
  • Yuan, Rong, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2016)
    The supply chain management for an online retailing business is centered around the operations of its fulfillment centers. A fulfillment center receives and holds inventory from vendors, and then uses this inventory to ...
  • Youssef, Nataly (Massachusetts Institute of Technology, 2016)
    To evaluate the performance and optimize systems under uncertainty, two main avenues have been suggested in the literature: stochastic analysis and optimization describing the uncertainty probabilistically and robust ...
  • Saunders, Zachary Clayton (Massachusetts Institute of Technology, 2016)
    Given a set of target detections over several time periods, this paper addresses the multi-target tracking problem (MTT) of optimally assigning detections to targets and estimating the trajectory of the targets over time. ...
  • Shi, Peng, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2016)
    In this thesis, I study how data-driven optimization can be used to improve school choice. In a typical school choice system, each student receives a set of school options, called the student's menu. Based on his/her menu, ...
  • Wang, He, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2016)
    With the advances in information technology and the increased availability of data, new approaches that integrate learning and decision making have emerged in operations management. The learning-and-optimizing approaches ...
  • Saroufim, Carl Elie (Massachusetts Institute of Technology, 2016)
    In the context of a world flooded with data, the Internet of Things (IoT) is exploding. This thesis considers the problem of applying IoT technology to the reduction of costs in the iron ore mining industry, to compensate ...
  • Lin, Maokai (Massachusetts Institute of Technology, 2015)
    This thesis discusses optimization problems and equilibrium in networks. There are three major parts of the thesis. In the first part, we discuss optimization in dynamic networks. We focus on two fundamental optimization ...
  • Sheth, Mallory (Massachusetts Institute of Technology, 2015)
    Predicting outcomes for critically ill patients is a topic of considerable interest. The most widely used models utilize data from early in a patient's stay to predict risk of death. While research has shown that use of ...
  • King, Angela, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2015)
    In the last twenty-five years (1990-2014), algorithmic advances in integer optimization combined with hardware improvements have resulted in an astonishing 200 billion factor speedup in solving mixed integer optimization ...
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