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Our research objective is to develop, test, and implement effective and efficient simulation techniques for modeling, evaluating, and optimizing systems in order to improve decision-making throughout the system development life cycle. Simulation is an important tool for modeling and predicting the performance of systems when analytical models do not exist or perform poorly. In addition, simulation provides powerful ways to visualize the behavior of a complex system before it is constructed.

Research Focus

  • Manufacturing process design
  • Manufacturing system design
  • Production planning and control
  • Public health emergency preparedness planning
  • Homeland security
  • Robot design
  • Planning and control of autonomous systems

 

 

 

 

   

ISR News

Professors Goldsman & Peckerar Win Award from University System of Maryland More»

Steve Marcus wins 2013 Poole and Kent Company Teaching Award More»

Jaydev Desai promoted to full professor More»



 

 
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