Inventory control by model predictive control methods

Autor: Paris Pennesi, Giuseppe Conte
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Zdroj: Scopus-Elsevier
Popis: This paper describes a model predictive control strategy to tackle the inventory control problem in Supply Chains. The problem is formulated as a receding-horizon optimization problem and the market demand is considered an external unknown disturbance. The behaviour of the Supply Chain is modelled by discrete time difference equations, both the control variables and the output variables are constrained to satisfy suitable bounds. Quantitative performance indices are introduced and the effects of the choice of the control parameters are discussed.
Databáze: OpenAIRE