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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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  • 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 ...
  • Mariadassou, Shwetha Paramananda (Massachusetts Institute of Technology, 2017)
    We build on existing operations and marketing research focusing on the effect of information transparency on consumers by studying how transparency into the levels and changes of relative sustainability performance affects ...
  • Thraves Cortés-Monroy, Charles Mark (Massachusetts Institute of Technology, 2017)
    Revenue Management (RM) is an area with important advances in theory and practice in the last thirty years. This thesis presents three different new applications in RM with a focus on: the firms' perspective, the government's ...
  • Anoun, Amine (Massachusetts Institute of Technology, 2017)
    Economically motivated adulteration of imported food poses a serious threat to public health, and has contributed to several poisoning incidents in the past few years in the U.S. [1]. Prevention is achieved by sampling ...
  • Marks, Christopher E. (Christopher Edward) (Massachusetts Institute of Technology, 2017)
    This thesis presents and evaluates methods for searching and analyzing social media data in order to improve situational awareness. We begin by proposing a method for network vertex search that looks for the target vertex ...
  • Weinstein, Alexander Michael (Massachusetts Institute of Technology, 2017)
    The past few decades have seen many methodological and technological advances in optimization, statistics, and machine learning. What is still not well understood is how to combine these tools to take data as inputs and ...
  • Flajolet, Arthur (Massachusetts Institute of Technology, 2017)
    This thesis is concerned with the design and analysis of new algorithms for sequential optimization problems with limited feedback on the outcomes of alternatives when the environment is not perfectly known in advance and ...
  • Gupta, Swati, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2017)
    Motivated by bottlenecks in algorithms across online and convex optimization, we consider three fundamental questions over combinatorial polytopes. First, we study the minimization of separable strictly convex functions ...
  • Webb, Matthew Robert (Massachusetts Institute of Technology, 2017)
    Combining social media posts with known user locations can lead to unique insights with applications ranging from tracking diffusion of sentiment to earthquake detection. One approach used to determine a user's home location ...
  • Scully, Timothy (Timothy Edward) (Massachusetts Institute of Technology, 2017)
    End-stage liver disease is one of the leading causes of death in the United States, and the only viable treatment is liver transplantation. Since the quality of a donor liver decreases with transportation time, United ...
  • Morse, Steven T (Massachusetts Institute of Technology, 2017)
    We present work in identifying, modeling, and predicting the structure of influence in a communication network. We focus on cellular phone data, which provides a near-global population sample (in contrast to the relatively ...
  • Korolko, Nikita (Nikita E.) (Massachusetts Institute of Technology, 2017)
    In this thesis, we consider online optimization problems that are characterized by incrementally revealed input data and sequential irrevocable decisions that must be made without complete knowledge of the future. We employ ...
  • 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 ...
  • Shi, Chuan; Gershwin, Stanley B. (Massachusetts Institute of Technology, Operations Research Center, 2016-08-23)
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
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