Approximation to Multistage Stochastic Optimization in Multiperiod Batch Plant Scheduling under Demand Uncertainty

@inproceedings{Balasubramanian2003ApproximationTM,
  title={Approximation to Multistage Stochastic Optimization in Multiperiod Batch Plant Scheduling under Demand Uncertainty},
  author={J. Balasubramanian and Ignacio E. Grossmann},
  year={2003}
}
Abstract We consider the problem of scheduling under demand uncertainty a multiproduct batch plant represented through the State Task Network. Given a scheduling horizon consisting of several time-periods in which product demands are placed, the objective is to select a schedule that maximizes the expected profit. We present a multistage stochastic Mixed Integer Linear Programming (MILP) model, wherein certain decisions are made irrespective of the realization of the uncertain parameters, and… CONTINUE READING
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