This paper refers to possibility of utilization a new method for modeling an industrial production system using the identification approach.The production system studied is considered as a black box, which does not require any knowledge of the internal parameters. Two structures of linear parametric models are outlined and compared i.e. Autoregressive with Exogenous (ARX) model and Autoregressive Moving Average with Exogenous (ARMAX) model. The best linear model is ARMAX, due to its higher percentage of best fit.
In this paper, we present a modelling of a warehouse
inventory management system. Themodelling method used in this
paper is an application of parametric identification with
models(ARX, ARMAX, OE and Box Jenkins). The approach
followed during this modelling is togenerate a mathematical
model that faithfully represents the level of stocks in a warehouse
from receptions and shipments.
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