A Bayesian stochastic programming approach to an employee scheduling problem

@inproceedings{Morton1999ABS,
  title={A Bayesian stochastic programming approach to an employee scheduling problem},
  author={David P. Morton and Elmira Popova},
  year={1999}
}
Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in nonstationary systems using limited historical data. Unlike deterministic optimization, stochastic programs explicitly incorporate distributions for random parameters in the model formulation, and thus have the advantage that the resulting solutions more fully hedge against future contingencies. In this paper, we… CONTINUE READING