Simulation optimization when facing input uncertainty

  title={Simulation optimization when facing input uncertainty},
  author={Enlu Zhou and Wei Xie},
  journal={2015 Winter Simulation Conference (WSC)},
Stochastic simulation is driven by the input model, which is a collection of distributions that model the randomness in the system. The input model is often constructed from data, and hence input uncertainty arises due to the finiteness of data. Simulation optimization has been mostly studied under the assumption of a known input model, without accounting for input uncertainty. We propose a new framework to study simulation optimization under input uncertainty, with the goal to balance the… CONTINUE READING

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