Now showing items 137-156 of 158

    • Scheduling multiclass queueing networks and job shops using fluid and semidefinite relaxations 

      Sethuraman, Jayachandran, 1970- (Massachusetts Institute of Technology, 1999)
      Queueing networks serve a& useful models for a variety of problems arising in modern communications, computer, and manufacturing systems. Since the optimal control problem for queueing networks is well-known to be intractable, ...
    • Selfish versus coordinated routing in network games 

      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 ...
    • Sequential data inference via matrix estimation : causal inference, cricket and retail 

      Amjad, Muhammad Jehangir (Massachusetts Institute of Technology, 2018)
      This thesis proposes a unified framework to capture the temporal and longitudinal variation across multiple instances of sequential data. Examples of such data include sales of a product over a period of time across several ...
    • Social networks : rational learning and information aggregation 

      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 ...
    • Sparsity and robustness in modern statistical estimation 

      Copenhaver, Martin Steven (Massachusetts Institute of Technology, 2018)
      Two principles at the forefront of modern machine learning and statistics are sparse modeling and robustness. Sparse modeling enables the construction of simpler statistical models, with examples including the Lasso and ...
    • Statistical learning for decision making : interpretability, uncertainty, and inference 

      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 ...
    • Stochastic analysis via robust optimization 

      Youssef, Nataly (Massachusetts Institute of Technology, 2016)
      To evaluate the performance and optimize systems under uncertainty, two main avenues have been suggested in the literature: stochastic analysis and optimization describing the uncertainty probabilistically and robust ...
    • Stochastic models and data driven simulations for healthcare operations 

      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 ...
    • Strategic delay and information exchange in endogenous social networks 

      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 ...
    • Studies integrating geometry, probability, and optimization under convexity 

      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 ...
    • Supply chain coordination and influenza vaccination 

      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. ...
    • Three essays in operations management 

      Leung, Ngai-Hang Zachary (Massachusetts Institute of Technology, 2014)
      The thesis applies optimization theory to three problems in operations management. In the first part of the thesis, we investigate the impact of inventory control on the availability of drugs to patients at public health ...
    • Three essays on sequencing and routing problems 

      Bompadre, Agustín (Massachusetts Institute of Technology, 2005)
      In this thesis we study different combinatorial optimization problems. These problems arise in many practical settings where there is a need for finding good solutions fast. The first class of problems we study are vehicle ...
    • Towards a unified theory of procurement contract design : production flexibility, spot market trading, and contract structure 

      Pei, Pamela Pen-Erh (Massachusetts Institute of Technology, 2008)
      We present in this work a unified approach and provide the optimal solution to the pricing problem of option contracts for a supplier of an industrial good in the presence of spot trading. Specifically, our approach fully ...
    • Tractability through approximation : a study of two discrete optimization problems 

      Farahat, Amr, 1973- (Massachusetts Institute of Technology, 2004)
      (cont.) algorithm, at one extreme, and complete enumeration, at the other extreme. We derive worst-case approximation guarantees on the solution produced by such an algorithm for matroids. We then define a continuous ...
    • Tractable multi-product pricing under discrete choice models 

      Keller, Philipp W. (Philipp Wilhelm), 1982- (Massachusetts Institute of Technology, 2013)
      We consider a retailer offering an assortment of differentiated substitutable products to price-sensitive customers. Prices are chosen to maximize profit, subject to inventory/ capacity constraints, as well as more general ...
    • A tractable optimization framework for Air Traffic Flow Management addressing fairness, collaboration and stochasticity 

      Gupta, Shubham, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2012)
      We propose a tractable optimization framework for network Air Traffic Flow Management (ATFM) with an eye towards the future. The thesis addresses two issues in ATFM research: a) fairness and collaboration amongst airlines; ...
    • Tractable stochastic analysis in high dimensions via robust optimization 

      Bandi, Chaithanya (Massachusetts Institute of Technology, 2013)
      Modern probability theory, whose foundation is based on the axioms set forth by Kolmogorov, is currently the major tool for performance analysis in stochastic systems. While it offers insights in understanding such systems, ...
    • Two topics in online auctions 

      Beil, Damian (Massachusetts Institute of Technology, 2003)
      This thesis studies two operations management topics in online auctions, and is divided into two parts. Motivated by the increasing use of ShopBots to scan Internet auctions, the first part of the thesis analytically ...
    • Velocity-based storage and stowage decisions in a semi-automated fulfillment system 

      Yuan, Rong, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2016)
      The supply chain management for an online retailing business is centered around the operations of its fulfillment centers. A fulfillment center receives and holds inventory from vendors, and then uses this inventory to ...