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Browsing Operations Research Center by Title

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  • Idris, Husni Rifat (Massachusetts Institute of Technology, 2001)
    The Departure Planner (DP) is a concept for a decision-aiding tool that is aimed at improving the performance of departure operations at major congested airports. In order to support the development of DP tools and other ...
  • Morse, Philip M., 1903-; Massachusetts Institute of Technology. Operations Research Center (Massachusetts Institute of Technology, Operations Research Center, 1977)
  • Ellis, Howard M.; Keeney, Ralph L. (Massachusetts Institute of Technology, Operations Research Center, 1971-08)
    This paper addresses a problem common to many government agencies--trying to specify a regulatory policy that is in some sense best for a given situation. Such questions demand the consideration of multiple conflicting ...
  • Limpaitoon, Tanachai (Massachusetts Institute of Technology, 2008)
    In this thesis we consider a multi-period truckload pick-up and delivery problem dealing with real-time requests over a finite time horizon. We introduce the notion of postponement of requests, whereby the company can ...
  • Ruark, John Douglas, 1971-; Massachusetts Institute of Technology. Operations Research Center (Massachusetts Institute of Technology, Operations Research Center, 1998)
  • 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 ...
  • Tziligakis, Constantine Nikolaos (Massachusetts Institute of Technology, 1999)
  • 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)
  • 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 ...
  • 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 ...
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