Now showing items 30-49 of 182

    • Capacity expansion in contemporary telecommunication networks 

      Sivaraman, Raghavendran (Massachusetts Institute of Technology, 2007)
      We study three capacity expansion problems in contemporary long distance telecommunication networks. The first two problems, motivated by a major long distance provider, address capacity expansion in national hybrid long ...
    • The case for coordination : equity, efficiency and passenger impacts in air traffic flow management 

      Fearing, Douglas (Douglas Stephen) (Massachusetts Institute of Technology, 2010)
      In this thesis, we develop multi-resource integer optimization formulations for coordinating Traffic Flow Management (TFM) programs with equity considerations. Our multi-resource approaches ignore aircraft connectivity ...
    • Combinatorial optimization problems with concave costs 

      Stratila, Dan (Massachusetts Institute of Technology, 2009)
      In the first part, we study the problem of minimizing a separable concave function over a polyhedron. We assume the concave functions are nonnegative nondecreasing on R+, and the polyhedron is in RI' (these assumptions can ...
    • Combinatorial structures in online and convex optimization 

      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 ...
    • Competition and loss of efficiency : from electricity markets to pollution control 

      Kluberg, Lionel J. (Lionel Jonathan) (Massachusetts Institute of Technology, 2011)
      The thesis investigates the costs and benefits of free competition as opposed to central regulation to coordinate the incentives of various participants in a market. The overarching goal of the thesis is to decide whether ...
    • Competitive multi-period pricing for perishable products 

      Sood, Anshul, 1978- (Massachusetts Institute of Technology, 2004)
      Pricing of a perishable product over a multi-period time horizon is a challenging problem under an oligopolistic market framework. We propose and study a model for multi-period pricing in an oligopolistic market for a ...
    • Computational and statistical challenges in high dimensional statistical models 

      Zadik, Ilias. (Massachusetts Institute of Technology, 2019)
      This thesis focuses on two long-studied high-dimensional statistical models, namely (1) the high-dimensional linear regression (HDLR) model, where the goal is to recover a hidden vector of coefficients from noisy linear ...
    • Constructing learning models from data : the dynamic catalog mailing problem 

      Sun, Peng, 1974- (Massachusetts Institute of Technology, 2003)
      The catalog industry is a large and important industry in the US economy. One of the most important and challenging business decisions in the industry is to decide who should receive catalogs, due to the significant mailing ...
    • Coordinating inventory control and pricing strategies 

      Chen, Xin, 1973- (Massachusetts Institute of Technology, 2003)
      Traditional inventory models focus on effective replenishment strategies and typically assume that a commodity's price is exogenously determined. In recent years, however, a number of industries have used innovative pricing ...
    • Correlation decay and decentralized optimization in graphical models 

      Weber, Theophane (Massachusetts Institute of Technology, 2010)
      Many models of optimization, statistics, social organizations and machine learning capture local dependencies by means of a network that describes the interconnections and interactions of different components. However, in ...
    • Data, models and decisions for large-scale stochastic optimization problems 

      Mišić, Velibor V (Massachusetts Institute of Technology, 2016)
      Modern business decisions exceed human decision making ability: often, they are of a large scale, their outcomes are uncertain, and they are made in multiple stages. At the same time, firms have increasing access to data ...
    • Data-driven algorithms for operational problems 

      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 ...
    • Data-driven approach to health care : applications using claims data 

      Bjarnadóttir, Margrét Vilborg (Massachusetts Institute of Technology, 2008)
      Large population health insurance claims databases together with operations research and data mining methods have the potential of significantly impacting health care management. In this thesis we research how claims data ...
    • Data-driven dynamic optimization with auxiliary covariates 

      McCord, Christopher George. (Massachusetts Institute of Technology, 2019)
      Optimization under uncertainty forms the foundation for many of the fundamental problems the operations research community seeks to solve. In this thesis, we develop and analyze algorithms that incorporate ideas from machine ...
    • Data-driven methods for personalized product recommendation systems 

      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 ...
    • Data-driven models for uncertainty and behavior 

      Gupta, Vishal, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2014)
      The last decade has seen an explosion in the availability of data. In this thesis, we propose new techniques to leverage these data to tractably model uncertainty and behavior. Specifically, this thesis consists of three ...
    • Data-driven optimization and analytics for operations management applications 

      Uichanco, Joline Ann Villaranda (Massachusetts Institute of Technology, 2013)
      In this thesis, we study data-driven decision making in operation management contexts, with a focus on both theoretical and practical aspects. The first part of the thesis analyzes the well-known newsvendor model but under ...
    • Data-driven optimization with behavioral considerations : applications to pricing 

      Hariss, Rim. (Massachusetts Institute of Technology, 2019)
      This thesis aims to introduce descriptive and predictive models that guide more informed pricing strategies in practice, drawing from interdisciplinary work of current OM, behavioral theories and recent machine learning ...
    • Data-driven pricing and inventory management with applications in fashion retail 

      Nambiar, Mila. (Massachusetts Institute of Technology, 2019)
      Fashion retail is typically characterized by (1) high demand uncertainty and products with short life cycles, which complicates demand forecasting, and (2) low salvage values and long supply lead times, which penalizes for ...
    • Decomposition methods for large scale stochastic and robust optimization problems 

      Becker, Adrian Bernard Druke (Massachusetts Institute of Technology, 2011)
      We propose new decomposition methods for use on broad families of stochastic and robust optimization problems in order to yield tractable approaches for large-scale real world application. We introduce a new type of a ...