Identification and Modelling of a Stock Level by Parametric Models | Zendy

Hicham Fouraiji | Zendy; Benayad Nsiri | Zendy; Bahloul Bensassi | Zendy

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Identification 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 (ijrte)

Language(s) - English

Resource type - Journals

ISSN - 2277-3878

DOI - 10.35940/ijrte.a1585.119420

Subject(s) - identification (biology) , warehouse , parametric model , parametric statistics , box–jenkins , stock (firearms) , computer science , system identification , operations research , econometrics , industrial engineering , engineering , data mining , time series , mathematics , statistics , geography , machine learning , autoregressive integrated moving average , mechanical engineering , botany , archaeology , biology , measure (data warehouse)

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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