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Operations Research Center

Research and Teaching Output of the MIT Community

Operations Research Center

 

Operations research (OR) is the professional discipline that deals with the application of scientific methods to decision making. OR draws upon ideas from engineering, management, mathematics and psychology to contribute to a wide variety of application domains; the field is closely associated with several other fields in the "decision sciences" -- applied mathematics, computer science, economics, statistics, industrial engineering, financial engineering and systems engineering.

Operations research is distinguished by its broad applicability and by the wide variety of career opportunities and work styles it embraces. OR specialists may be theoreticians or practitioners; they may work in academia, in industry or in public service, teaching, conducting research, or consulting by developing and applying OR methods.

The Center brings together faculty with various research interests from the following departments:

  • Sloan School of Management
  • Department of Electrical Engineering and Computer Science
  • Civil and Environmental Engineering
  • Mathematics
  • Aeronautics and Astronautics
  • Urban Studies and Planning
  • Ocean Engineering
  • Mechanical Engineering
  • Nuclear Engineering

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Recent Submissions

  • 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 ...
  • 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 ...
  • Vanden Berg, Andrew M (Massachusetts Institute of Technology, 2018)
    Congestion, overcrowding, and increasing patient wait times are major challenges that many large, academic centers currently face. To address these challenges, hospitals must effectively utilize available beds through ...
  • Udwani, Rajan (Massachusetts Institute of Technology, 2018)
    In this thesis, we design and analyze algorithms for robust combinatorial optimization in various settings. First, we consider the problem of simultaneously maximizing multiple objectives, all monotone submodular, subject ...
  • 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 ...
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