Now showing items 36-55 of 160

    • 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 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 ...
    • 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 ...
    • Degradable airline scheduling : an approach to improve operational robustness and differentiate service quality 

      Kang, Laura Sumi, 1977- (Massachusetts Institute of Technology, 2004)
      We present a methodology for deriving robust airline schedules that are not vulnerable to disruptions caused by bad weather. In this methodology, the existing schedule is partitioned into independent sub-schedules or layers ...
    • Demand uncensored : car-sharing mobility services using data-driven and simulation-based techniques 

      Fields, Evan(Evan Jerome) (Massachusetts Institute of Technology, 2019)
      In the design and operation of urban mobility systems, it is often desirable to understand patterns in traveler demand. However, demand is typically unobserved and must be estimated from available data. To address this ...
    • Design and operation of a last mile transportation system 

      Wang, Hai, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2015)
      The Last Mile Problem refers to the provision of travel service from the nearest public transportation node to a home or office. Last Mile Transportation Systems (LMTS) are critical extensions to traditional public transit ...
    • Dynamic learning and optimization for operations management problems 

      Wang, He, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2016)
      With the advances in information technology and the increased availability of data, new approaches that integrate learning and decision making have emerged in operations management. The learning-and-optimizing approaches ...
    • Dynamic matching algorithms 

      Burq, Maximilien. (Massachusetts Institute of Technology, 2019)
      We study marketplaces in which participants arrive over time, looking to interact with each other. While such interactions have historically been decentralized, the past few years have seen a dramatic increase in the number ...
    • Dynamic order allocation for make-to-order manufacturing networks : an industrial case study of optimization under uncertainty/ 

      Williams, Gareth Pierce (Massachusetts Institute of Technology, 2011)
      Planning and controlling production in a large make-to-order manufacturing network poses complex and costly operational problems. As customers continually submit customized orders, a centralized decision-maker must quickly ...
    • Dynamic pricing and inventory control with no backorders under uncertainty and competition 

      Adida, Elodie (Massachusetts Institute of Technology, 2006)
      Recently, revenue management has become popular in many industries such as the airline, the supply chain, and the transportation industry. Decision makers realize that even small improvements in their operations can have ...
    • Dynamic pricing with demand learning under competition 

      Simon, Carine (Carine Anne Marie) (Massachusetts Institute of Technology, 2007)
      In this thesis, we focus on oligopolistic markets for a single perishable product, where firms compete by setting prices (Bertrand competition) or by allocating quantities (Cournot competition) dynamically over a finite ...
    • Dynamic trading and behavioral finance 

      Remorov, Alexander (Massachusetts Institute of Technology, 2016)
      The problem of investing over time remains an important open question, considering the recent large moves in the markets, such as the Financial Crisis of 2008, the subsequent rally in equities, and the decline in commodities ...
    • Dynamic, data-driven decision-making in revenue management 

      Ma, Wei (Will Wei) (Massachusetts Institute of Technology, 2018)
      Motivated by applications in Revenue Management (RM), this thesis studies various problems in sequential decision-making and demand learning. In the first module, we consider a personalized RM setting, where items with ...
    • Effective contracts in supply chains 

      Shum, Wanhang (Massachusetts Institute of Technology, 2007)
      In the past decade, we have seen significant increase in the level of outsourcing in many industries. This increase in the level of outsourcing increases the importance of implementing effective contracts in supply chains. ...
    • Effectiveness and design of sparse process flexibilities 

      Wei, Yehua, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2013)
      The long chain has been an important concept in the design of flexible processes. This design concept, as well as other sparse flexibility structures, have been applied by the automotive and other industries as a way to ...
    • Efficient capacity allocation in a collaborative air transportation system 

      Hall, William D. (William David), 1968- (Massachusetts Institute of Technology, 1999)
      This thesis proposes methods of allocating airport capacity to the users of the National Airspace System (NAS) during periods in which demand for the resources exceeds capacity. A metric by which the proposed methods are ...