Poisson point processes are widely used to model the consumption of spare parts. However, when the items have very low consumption rates, the historical sample sizes are too small. This paper presents a modelling technique for spare parts policies in the case of items with a low consumption rate. We propose the use of chaotic models derived from the well-known chaotic processes logistic map and Hénon attractor to assess the behaviour of a set of five medium voltage motors supplying four drives in the rolling mill of a steelmaking plant. Supported by the chaotic models, we conclude that the company needs an additional motor to ensure full protection against shortages.
Spare Parts Replacement Policy Based on Chaotic Models / Sellitto, Miguel A.; Balugani, Elia; Lolli, Francesco. - 51:11(2018), pp. 945-950. (Intervento presentato al convegno 16th IFAC Symposium on Information Control Problems in Manufacturing (INCOM) tenutosi a Bergamo, Italy nel 11-13 June 2018) [10.1016/j.ifacol.2018.08.486].
Spare Parts Replacement Policy Based on Chaotic Models
Balugani, Elia;Lolli, Francesco
2018
Abstract
Poisson point processes are widely used to model the consumption of spare parts. However, when the items have very low consumption rates, the historical sample sizes are too small. This paper presents a modelling technique for spare parts policies in the case of items with a low consumption rate. We propose the use of chaotic models derived from the well-known chaotic processes logistic map and Hénon attractor to assess the behaviour of a set of five medium voltage motors supplying four drives in the rolling mill of a steelmaking plant. Supported by the chaotic models, we conclude that the company needs an additional motor to ensure full protection against shortages.File | Dimensione | Formato | |
---|---|---|---|
1-s2.0-S2405896318316161-main.pdf
Open access
Descrizione: Versione dell'editore
Tipologia:
VOR - Versione pubblicata dall'editore
Dimensione
448.11 kB
Formato
Adobe PDF
|
448.11 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris