Optimal planning and scheduling of batch plants with operational uncertainties: An industrial application to Baker's yeast production (original) (raw)

Computers & Chemical Engineering, 1999

Abstract

In this work, the mixed integer linear programming (MILP) model developed in Orçun et. al 1996 for optimal planning and scheduling of batch process plants under uncertain operating conditions is further improved to deal also with discrete probability functions. Furthermore, the logic behind integrating the processing uncertainties within the MILP model is implemented on the variations in the production volumes

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