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Browsing Operations Research Center by Title

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  • 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 ...
  • Schaack, Christian; Larson, Richard C., 1943-; Massachusetts Institute of Technology. Operations Research Center (Massachusetts Institute of Technology, Operations Research Center, 1984)
  • Shioda, Romy, 1977- (Massachusetts Institute of Technology, 2002)
    We develop two classes of optimization models in order to maximize revenue in a restaurant, while controlling average waiting time as well as perceived fairness, that may violate the first-come-first-serve (FCFS) rule. In ...
  • Bertsimas, Dimitris J.; Nino-Mora, Jose (Massachusetts Institute of Technology, Operations Research Center, 1994-08)
    We propose a mathematical programming approach for the classical PSPACE - hard problem of n restless bandits in stochastic optimization. We introduce a series of n increasingly stronger linear programming relaxations, the ...
  • Myung, Young-soo; Tcha, Dong-wan (Massachusetts Institute of Technology, Operations Research Center, 1991-05)
    We consider how the optimal decision can be made if the optimality criterion of maximizing profit changes to that of maximizing return on investment for the general uncapacitated facility location problem. We show that the ...
  • 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 ...
  • Keeney, Ralph L. (Massachusetts Institute of Technology, Operations Research Center, 1971-06)
    The concepts of conditional risk aversion, the conditional risk premium, and risk independence pertaining to multiattributed utility functions are defined. The latter notion is then generalized to what is called utility ...
  • Agbokou, Claudine Biova, 1979- (Massachusetts Institute of Technology, 2004)
    Major airlines aim to generate schedules that maximize profit potential and satisfy constraints involving flight schedule design, fleet assignment, aircraft maintenance routing and crew scheduling. Almost all aircraft and ...
  • 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 ...
  • 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 ...
  • Marla, Lavanya (Massachusetts Institute of Technology, 2007)
    We consider large-scale, network-based, resource allocation problems under uncertainty, with specific focus on the class of problems referred to as multi-commodity flow problems with time-windows. These problems are at the ...
  • 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 ...
  • Bryant, Corban Harrell (Massachusetts Institute of Technology, 2006)
    In this thesis. we introduce and analyze methods of creating theater-level robust mission plans for Effects Based Operations (EBO) of teams of Unmanned Aerial Vehicles (UAVs), and propose methods of effectively presenting ...
  • Frost, Emily Anne (Massachusetts Institute of Technology, 2013)
    In this thesis, I design and implement a novel method of schedule and path selection between predetermined waypoints for unmanned underwater vehicles under uncertainty. The problem is first formulated as a mixed-integer ...
  • Culver, David M. (David Martin) (Massachusetts Institute of Technology, 2013)
    This thesis considers the tactical reconnaissance asset allocation problem in military operations. Specifically this thesis presents methods to optimize, under uncertain conditions, tactical reconnaissance asset allocation ...
  • 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 ...
  • Cates, Jacob Roy (Massachusetts Institute of Technology, 2011)
    As our technology continues to increase, our military wishes to reduce the risk service members endure by using unmanned vehicles. These unmanned vehicles will, over time, become more independent and trustworthy in our ...
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