Current faculty expertise in the Operations Research Division support research in the following areas:
Mathematical Programming and Optimization (including linear, nonlinear, network, discrete, combinatorial, multi-objective programming, scheduling, and project, program and campaign planning)
Stochastic Operations Research (including applied stochastic processes, reliability theory, queuing models, and stochastic optimization)
Simulation (including input modeling, output analysis, variance reduction, and high-level architecture)
Applied Statistics (including response surface methodology, statistically designed experiments, statistical quality control, and multivariate statistics)
