Optimization of stochastic planning models.
journal contributionposted on 01.01.1995 by R. L. Clay, Ignacio E. Grossmann, Carnegie Mellon University.Engineering Design Research Center.
Any type of content formally published in an academic journal, usually following a peer-review process.
Abstract: "This paper considers stochastic linear programming models for production planning where cost coefficient and RHS term uncertainties are represented by finite discrete probability distribution functions. The solution of the two-stage fixed recourse problem is considered, for which a sensitivity-based successive disaggregation algorithm is outlined. The bounding properties of the aggregate sub-problems are examined in the context of the disaggregation algorithm. Illustrative examples of the two-stage algorithm are presented."