Now showing items 131-150 of 182

    • Optimization under uncertainty in radiation therapy 

      Chan, Timothy Ching-Yee (Massachusetts Institute of Technology, 2007)
      In the context of patient care for life-threatening illnesses, the presence of uncertainty may compromise the quality of a treatment. In this thesis, we investigate robust approaches to managing uncertainty in radiation ...
    • Optimization-based auctions and stochastic assembly replenishment policies for industrial procurement 

      Gallien, Jérémie (Massachusetts Institute of Technology, 2000)
      This thesis describes two applications of Operations Research to the field of industrial procurement, addressing problems encountered in supplier selection and supplier control, respectively. The first part addresses the ...
    • Optimizing paint blocking in an automobile assembly line : an application of specialized TSP's 

      Sokol, Joel Scott, 1971- (Massachusetts Institute of Technology, 1999)
      In the automobile manufacturing industry, vehicle production is an assembly-line process. Automobile companies typically sequence vehicle production based on workload balancing factors, with little consideration of vehicle ...
    • Optimizing safety stock placement in general network supply chains 

      Lesnaia, Ekaterina. (Massachusetts Institute of Technology, 2004)
      The amount of safety stock to hold at each stage in a supply chain is an important problem for a manufacturing company that faces uncertain demand and needs to provide a high level of service to its customers. The amount ...
    • Order fulfillment in online retailing : what goes where 

      Xu, Ping Josephine, 1977- (Massachusetts Institute of Technology, 2005)
      We present three problems motivated by order fulfillment in online retailing. First, we focus on one warehouse or fulfillment center. To optimize the storage space and labor, an e-tailer splits the warehouse into two regions ...
    • Personalized diabetes management 

      O'Hair, Allison Kelly (Massachusetts Institute of Technology, 2013)
      In this thesis, we present a system to make personalized lifestyle and health decisions for diabetes management, as well as for general health and diet management. In particular, we address the following components of the ...
    • Portfolio risk minimization under departures from normality 

      Lauprête, Geoffrey J. (Geoffrey Jean), 1972- (Massachusetts Institute of Technology, 2001)
      This thesis revisits the portfolio selection problem in cases where returns cannot be modeled as Gaussian. The emphasis is on the development of financially intuitive and statistically sound approaches to portfolio risk ...
    • Portfolio strategies in supply contracts 

      Martínez-de-Albéniz, Victor, 1978- (Massachusetts Institute of Technology, 2004)
      Traditionally, industrial buyers have focused on long-term contracts for many of their purchasing needs. Recently, however, some high-tech manufacturers have started looking at more flexible contracts for non-strategic ...
    • Practical applications of large-scale stochastic control for learning and optimization 

      Gutin, Eli (Massachusetts Institute of Technology, 2018)
      This thesis explores a variety of techniques for large-scale stochastic control. These range from simple heuristics that are motivated by the problem structure and are amenable to analysis, to more general deep reinforcement ...
    • Prediction and optimization in school choice 

      Shi, Peng, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2016)
      In this thesis, I study how data-driven optimization can be used to improve school choice. In a typical school choice system, each student receives a set of school options, called the student's menu. Based on his/her menu, ...
    • Predictive and prescriptive methods in operations research and machine learning : an optimization approach 

      Mundru, Nishanth. (Massachusetts Institute of Technology, 2019)
      The availability and prevalence of data have provided a substantial opportunity for decision makers to improve decisions and outcomes by effectively using this data. In this thesis, we propose approaches that start from ...
    • Prescriptive analytics in operations problems : a tree ensemble approach 

      Biggs, Max(Max Ray) (Massachusetts Institute of Technology, 2019)
      The main contributions of this thesis concern addressing challenges in the field of prescriptive optimization, and how machine learning techniques can be incorporated into solving data-driven operational optimization ...
    • Price of anarchy in supply chains, congested systems and joint ventures 

      Sun, Wei, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2012)
      This thesis studies the price of anarchy in supply chains, congested systems and joint ventures. It consists of three main parts. In the first part, we investigate the impact of imperfect competition with nonlinear demand. ...
    • Pricing and incentive design in applications of green technology subsidies and revenue management 

      Lobel, Ruben (Massachusetts Institute of Technology, 2012)
      This thesis addresses three issues faced by firms and policy-makers when deciding how to price products and properly incentivize consumers. In the first part of the thesis, we focus on a firm attempting to dynamically ...
    • Pricing for retail, social networks and green technologies 

      Cohen, Maxime C (Massachusetts Institute of Technology, 2015)
      What is the right price to charge your customers? Many retailers and researchers are facing this question. In the last three decades, tremendous progress was made, both in the academic and business worlds. In this thesis, ...
    • Probabilistic models and optimization algorithms for large-scale transportation problems 

      Lu, Jing,Ph.D.Massachusetts Institute of Technology. (Massachusetts Institute of Technology, 2020)
      This thesis tackles two major challenges of urban transportation optimization problems: (i) high-dimensionality and (ii) uncertainty in both demand and supply. These challenges are addressed from both modeling and algorithm ...
    • Provably near-optimal algorithms for multi-stage stochastic optimization models in operations management 

      Shi, Cong, Ph.D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2012)
      Many if not most of the core problems studied in operations management fall into the category of multi-stage stochastic optimization models, whereby one considers multiple, often correlated decisions to optimize a particular ...
    • Regression under a modern optimization lens 

      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 ...
    • Regulating exploration in multi-armed bandit problems with time patterns and dying arms 

      Tracà, Stefano (Massachusetts Institute of Technology, 2018)
      In retail, there are predictable yet dramatic time-dependent patterns in customer behavior, such as periodic changes in the number of visitors, or increases in customers just before major holidays. The standard paradigm ...
    • Resource allocation in stochastic processing networks : performance and scaling 

      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 ...