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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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  • Papush, Anna (Massachusetts Institute of Technology, 2018)
    The online market has expanded tremendously over the past two decades across all industries ranging from retail to travel. This trend has resulted in the growing availability of information regarding consumer preferences ...
  • Galle, Virgile (Massachusetts Institute of Technology, 2018)
    Container terminals, where containers are transferred between different modes of transportation both on the seaside and landside, are crucial links in intercontinental supply chains. The rapid growth of container shipping ...
  • Yan, Chiwei (Massachusetts Institute of Technology, 2017)
    The global airline industry is a multi-stakeholder stochastic system whose performance is the outcome of complex interactions between its multiple decisions-makers under a high degree of uncertainty. Inadequate understanding ...
  • 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 ...
  • Candela Garza, Eduardo (Massachusetts Institute of Technology, 2017)
    We present our work with a hotel company as an example of how machine learning techniques can be used to improve the demand predictions of a hotel property, as well as its pricing and capacity allocation decisions. First, ...
  • Lubin, Miles (Miles C.) (Massachusetts Institute of Technology, 2017)
    In this thesis, we study mixed-integer convex optimization, or mixed-integer convex programming (MICP), the class of optimization problems where one seeks to minimize a convex objective function subject to convex constraints ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Kung, Jerry Lai (Massachusetts Institute of Technology, 2017)
    Health care expenditures in the United States have been increasing at unsustainable rates for more than thirty years with no signs of abating. Decisions to accept or reject deceased-donor kidneys offered to patients on the ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Aouad, Ali (Mohammed Ali) (Massachusetts Institute of Technology, 2017)
    Finding optimal product offerings is a fundamental operational issue in modern retailing, exemplified by the development of recommendation systems and decision support tools. The challenge is that designing an accurate ...
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