Control in Social Economic Systems

Regularizing functions in many-period production optimization models

Yu. M. Tsodikov, Ya. Yu. Tsodikova

Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

Abstract: A linear dynamic model for many-period production optimization is designed by linear programming methods. For a large-dimensional model, piecewise-linear regularizing functions are introduced through qualitative information on stocks and flows. An example is given to show the effectiveness of the method for many-period optimization of the operation of a refinery.

Presented by the member of Editorial Board: A. I. Propoi

Received: 27.02.2003

 English version: Automation and Remote Control, 2005, 66:1, 123–128

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