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Browsing Operations Research - Ph.D. / Sc.D. by Title

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Browsing Operations Research - Ph.D. / Sc.D. by Title

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  • O'Hair, Allison Kelly (Massachusetts Institute of Technology, 2013)
    In this thesis, we present a system to make personalized lifestyle and health decisions for diabetes management, as well as for general health and diet management. In particular, we address the following components of the ...
  • Lauprête, Geoffrey J. (Geoffrey Jean), 1972- (Massachusetts Institute of Technology, 2001)
    This thesis revisits the portfolio selection problem in cases where returns cannot be modeled as Gaussian. The emphasis is on the development of financially intuitive and statistically sound approaches to portfolio risk ...
  • Martínez-de-Albéniz, Victor, 1978- (Massachusetts Institute of Technology, 2004)
    Traditionally, industrial buyers have focused on long-term contracts for many of their purchasing needs. Recently, however, some high-tech manufacturers have started looking at more flexible contracts for non-strategic ...
  • Sun, Wei, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2012)
    This thesis studies the price of anarchy in supply chains, congested systems and joint ventures. It consists of three main parts. In the first part, we investigate the impact of imperfect competition with nonlinear demand. ...
  • Lobel, Ruben (Massachusetts Institute of Technology, 2012)
    This thesis addresses three issues faced by firms and policy-makers when deciding how to price products and properly incentivize consumers. In the first part of the thesis, we focus on a firm attempting to dynamically ...
  • Shi, Cong, Ph.D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2012)
    Many if not most of the core problems studied in operations management fall into the category of multi-stage stochastic optimization models, whereby one considers multiple, often correlated decisions to optimize a particular ...
  • Zhong, Yuan, Ph.D. Massachusetts Institute of Technology. Operations Research Center (Massachusetts Institute of Technology, 2012)
    This thesis addresses the design and analysis of resource allocation policies in largescale stochastic systems, motivated by examples such as the Internet, cloud facilities, wireless networks, etc. A canonical framework ...
  • Nguyen, Tri-Dung, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2009)
    Classical methods of maximum likelihood and least squares rely a great deal on the correctness of the model assumptions. Since these assumptions are only approximations of reality, many robust statistical methods have been ...
  • McCann, Lauren, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2006)
    In this thesis, we study the problems of robust model selection and outlier detection in linear regression. The results of data analysis based on linear regressions are highly sensitive to model choice and the existence ...
  • Sim, Melvyn, 1971- (Massachusetts Institute of Technology, 2004)
    We propose new methodologies in robust optimization that promise greater tractability, both theoretically and practically than the classical robust framework. We cover a broad range of mathematical optimization problems, ...
  • Pachamanova, Dessislava A. (Dessislava Angelova), 1975- (Massachusetts Institute of Technology, 2002)
    An important issue in real-world optimization problems is how to treat uncertain coefficients. Robust optimization is a modeling methodology that takes a deterministic view: the optimal solution is required to remain ...
  • Aghassi, Michele Leslie (Massachusetts Institute of Technology, 2005)
    We propose a robust optimization approach to analyzing three distinct classes of problems related to the notion of equilibrium: the nominal variational inequality (VI) problem over a polyhedron, the finite game under payoff ...
  • Le Tallec, Yann (Massachusetts Institute of Technology, 2007)
    Markov Decision Processes (MDPs) model problems of sequential decision-making under uncertainty. They have been studied and applied extensively. Nonetheless, there are two major barriers that still hinder the applicability ...
  • Sethuraman, Jayachandran, 1970- (Massachusetts Institute of Technology, 1999)
  • Stier Moses, Nicolás E (Massachusetts Institute of Technology, 2004)
    A common assumption in network optimization models is that a central authority controls the whole system. However, in some applications there are independent users, and assuming that they will follow directions given by ...
  • Lobel, Ilan (Massachusetts Institute of Technology, 2009)
    This thesis studies the learning problem of a set of agents connected via a general social network. We address the question of how dispersed information spreads in social networks and whether the information is efficiently ...
  • Anderson, Ross Michael (Massachusetts Institute of Technology, 2014)
    This thesis considers problems in two areas in the healthcare operations: Kidney Paired Donation (KPD) and scheduling medical residents in hospitals. In both areas, we explore the implications of policy change through high ...
  • Bimpikis, Kostas (Massachusetts Institute of Technology, 2010)
    This thesis studies optimal stopping problems for strategic agents in the context of two economic applications: experimentation in a competitive market and information exchange in social networks. The economic agents (firms ...
  • Nogueira, Alexandre Belloni (Massachusetts Institute of Technology, 2006)
    Convexity has played a major role in a variety of fields over the past decades. Nevertheless, the convexity assumption continues to reveal new theoretical paradigms and applications. This dissertation explores convexity ...
  • Mamani, Hamed (Massachusetts Institute of Technology, 2008)
    Annual influenza outbreaks incur great expenses in both human and monetary terms, and billions of dollars are being allocated for influenza pandemic preparedness in an attempt to avert even greater potential losses. ...
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