A stochastic linear optimization model

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Ivan Kavkler
Lilijana Arih
Štefan Zorko

Abstract

An optimization model, for process production, which is representatively described by a finite number of random variables, is obtained by using factor analysis and linear multiple regression. The interdependences of endogenous random variables are also built into the model. The model and the corresponding computer program SLOM are permanently applied for ferrosilicon production at the factory Tovarna dušika Ruše.

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