Open AccessIdentification and Modelling of a Stock Level by Parametric Models
Author(s) -
Hicham Fouraiji,
Benayad Nsiri,
Bahloul Bensassi
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.a1585.119420
Subject(s) - warehouse , identification (biology) , parametric model , parametric statistics , stock (firearms) , box–jenkins , system identification , computer science , operations research , econometrics , industrial engineering , engineering , mathematics , time series , data modeling , statistics , database , geography , machine learning , autoregressive integrated moving average , mechanical engineering , botany , biology , archaeology
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.