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HOME/People/All Faculty/Emeritus Faculty/Robert L. Smith

Robert L. Smith

Robert Smith. Photo by Eyvind Claxton, IOE.

Altarum/ERIM Russell D. O'Neil Professor Emeritus of Engineering

Industrial and Operations Engineering

1733 Industrial Operations and Engineering Building

rlsmith@umich.edu

(734) 764-9403

website

Research Interests Biography

Research Interests: ^top

  • Applications
    Manufacturing
    Transportation
  • Financial Engineering
  • Industrial Operations
    Distribution & Logistics
    Inventory Control
    Production Scheduling
  • Operations Research Tools
    Decision Analysis
    Game Theory
    Math Modeling
    Math Programming
    Network Flows
    Optimization
    Queuing Theory
    Simulation
    Stochastic Opt. & Control
    Stochastic Processes

Biography: ^top

Dr. Smith is the Altarum/ERIM Russell D. O’Neal Professor Emeritus of Engineering and Professor Emeritus of Industrial and Operations Engineering at the University of Michigan. He has taught courses in stochastic processes, queueing systems, and dynamic programming. His research interests include the optimization of complex systems using global optimization methods and the determination of planning and forecast horizons for decision making over time. Dr. Smith was Director of the Dynamic Systems Optimization Laboratory at the University of Michigan. He has been honored with the Distinguished Faculty Achievement Award from the University of Michigan, the College of Engineering Research Excellence Award, an Outstanding Teacher Award from the Michigan Student Assembly and is a Fellow of the Institute for Operations Research and the Management Sciences. Dr. Smith is Associate Editor of Operations Research and past Associate Editor of Management Science and is the author of over one hundred peer reviewed publications.

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Research Area
  • Business and Operations Analytics
  • Data Analytics
  • Energy and Sustainability
  • Health and Human Safety
  • Human Systems Integration
  • Mobility and Transportation Networks
  • Optimization
  • Stochastic Systems
Industrial & Operations Engineering
Industrial & Operations Engineering

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Phone: (734) 764-6473

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