Now showing items 61-80 of 157

    • Fairness in operations : from theory to practice 

      Trichakis, Nikolaos K (Massachusetts Institute of Technology, 2011)
      This thesis deals with two basic issues in resource allocation problems. The first issue pertains to how one approaches the problem of designing the "right" objective for a given resource allocation problem. The notion of ...
    • Forecast-driven tactical planning models for manufacturing systems 

      Chhaochhria, Pallav (Massachusetts Institute of Technology, 2011)
      Our work is motivated by real-world planning challenges faced by a manufacturer of industrial products. In the first part of the thesis, we study a multi-product serial-flow production line that operates in a low-volume, ...
    • From data to decisions in healthcare : an optimization perspective 

      Weinstein, Alexander Michael (Massachusetts Institute of Technology, 2017)
      The past few decades have seen many methodological and technological advances in optimization, statistics, and machine learning. What is still not well understood is how to combine these tools to take data as inputs and ...
    • From data to decisions through new interfaces between optimization and statistics 

      Kallus, Nathan (Massachusetts Institute of Technology, 2015)
      The growing availability of data is creating opportunities for making better decisions, but in many circumstances it is yet unknown how to correctly leverage this data in systematic and optimal ways. In this thesis, we ...
    • General superposition strategies and asset allocation 

      Kaminski, Kathryn Margaret (Massachusetts Institute of Technology, 2007)
      Investors commonly use stopping rules to help them get in and out of their investment positions. Despite their widespread use and support from behavioral finance, there has been little discussion of their impact on portfolio ...
    • The Gomory-Chvátal closure : polyhedrality, complexity, and extensions 

      Dunkel, Juliane (Massachusetts Institute of Technology, 2011)
      In this thesis, we examine theoretical aspects of the Gomory-Chvátal closure of polyhedra. A Gomory-Chvátal cutting plane for a polyhedron P is derived from any rational inequality that is valid for P by shifting the ...
    • Governing the human capitalists : ownership and authority in the advertising and airline industries 

      Von Nordenflycht, Andrew Gustaf, 1969- (Massachusetts Institute of Technology, 2004)
      Theorists suggest the rising value of human capital will mean greater participation by employees in the ownership and governance of firms. This thesis explores aspects of these claims by analyzing the competitive effects ...
    • Implementing reusable solvers : an object-oriented framework for operations research algorithms 

      Ruark, John Douglas, 1971- (Massachusetts Institute of Technology, 1998)
    • Improving behavioral decision making in operations and food safety management 

      Wang, Shujing, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2018)
      In Chapter 1, we design controlled laboratory experiments to investigate whether and how process-driven discussions may improve information sharing, information integration, and the resulting group performance in collective ...
    • Inferring noncompensatory choice heuristics 

      Yee, Michael, 1978- (Massachusetts Institute of Technology, 2006)
      Human decision making is a topic of great interest to marketers, psychologists, economists, and others. People are often modeled as rational utility maximizers with unlimited mental resources. However, due to the structure ...
    • Information and decentralization in inventory, supply chain, and transportation systems 

      Roels, Guillaume (Massachusetts Institute of Technology, 2006)
      This thesis investigates the impact of lack of information and decentralization of decision-making on the performance of inventory, supply chain, and transportation systems. In the first part of the thesis, we study two ...
    • Integer optimization in data mining 

      Shioda, Romy, 1977- (Massachusetts Institute of Technology, 2003)
      While continuous optimization methods have been widely used in statistics and data mining over the last thirty years, integer optimization has had very limited impact in statistical computation. Thus, our objective is to ...
    • Integer optimization methods for machine learning 

      Chang, Allison An (Massachusetts Institute of Technology, 2012)
      In this thesis, we propose new mixed integer optimization (MIO) methods to ad- dress problems in machine learning. The first part develops methods for supervised bipartite ranking, which arises in prioritization tasks in ...
    • A Langrangian decomposition approach to weakly coupled dynamic optimization problems and its applications 

      Hawkins, Jeffrey Thomas, 1977- (Massachusetts Institute of Technology, 2003)
      We present a Lagrangian based approach to decoupling weakly coupled dynamic optimization problems for both finite and infinite horizon problems. The main contributions of this dissertation are: (i) We develop methods for ...
    • Large scale prediction models and algorithms 

      Monsch, Matthieu (Matthieu Frederic) (Massachusetts Institute of Technology, 2013)
      Over 90% of the data available across the world has been produced over the last two years, and the trend is increasing. It has therefore become paramount to develop algorithms which are able to scale to very high dimensions. ...
    • Large scale queueing systems : asymptotics and insights 

      Goldberg, David Alan, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2011)
      Parallel server queues are a family of stochastic models useful in a variety of applications, including service systems and telecommunication networks. A particular application that has received considerable attention in ...
    • Large-scale analytics and optimization in urban transportation : improving public transit and its integration with vehicle-sharing services 

      Chiraphadhanakul, Virot (Massachusetts Institute of Technology, 2013)
      Public transportation is undeniably an effective way to move a large number of people in a city. Its ineffectiveness, such as long travel times, poor coverage, and lack of direct services, however, makes it unappealing to ...
    • Learning with structured decision constraints 

      Goh, Chong Yang (Massachusetts Institute of Technology, 2018)
      This thesis addresses several prediction and estimation problems under structured decision constraints. We consider them in two parts below. Part 1 focuses on supervised learning problems with constrained output spaces. ...
    • Local energy management through mathematical modeling and optimization 

      Craft David (David Loren), 1973- (Massachusetts Institute of Technology, 2004)
      (cont.) Extensions to the core TOTEM model include a demand charge model, used for making daily optimal control decisions when the electric bill includes a charge based on the monthly maximum power draw. The problem of ...
    • Lowering outbound shipping costs in an online retail environment by making better fulfillment and replenishment decisions 

      Acimovic, Jason Andrew (Massachusetts Institute of Technology, 2012)
      As online retailing - or e-tailing - continues to grow as more and more customers buy physical goods on the internet, finding ways to reduce the cost and environmental impact of outbound shipping in this sector will become ...