Rule-based forecasting and production control system design utilizing a feedback control architecture

Hongrui Liu, Zelda Zabinsky and Wolf Kohn

IISE Transactions, 2011, vol. 43, issue 2, 143-152

Abstract: Forecasting and production control systems typically rely on operational rules that have been accumulated and refined from enterprise experts. Designing a rule-based system is a challenging task. In this article, a new rule-based system design methodology for forecasting and production control is proposed. The methodology first represents the rule-based system as a finite state automaton (a Moore machine) and then formulates an optimal control problem in a feedback control architecture. The solution to the optimal control problem provides action rules for forecasting and production that minimize cost over a given time horizon. The proposed methodology provides a systematic tool for rule-based system design that gives robust and realistic solutions.

Date: 2011
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DOI: 10.1080/0740817X.2010.504691

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