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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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  • 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 ...
  • Cohen, Maxime C (Massachusetts Institute of Technology, 2015)
    What is the right price to charge your customers? Many retailers and researchers are facing this question. In the last three decades, tremendous progress was made, both in the academic and business worlds. In this thesis, ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Calmon, André du Pin (Massachusetts Institute of Technology, 2015)
    The goal of this thesis is to describe, model, and optimize reverse logistics systems commonly used in the Consumer Electronics industry. The context and motivation for this work stem from a collaboration with an industrial ...
  • 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 ...
  • Letham, Benjamin (Massachusetts Institute of Technology, 2015)
    Data and predictive modeling are an increasingly important part of decision making. Here we present advances in several areas of statistical learning that are important for gaining insight from large amounts of data, and ...
  • 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 ...
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