Inventory control is one of the main activities in industrial plant management. Both process owners and line workers interact daily with stocks of components and finite products, and an effective management of these inventory levels is a key factor in an efficient manufacturing process. In this paper the algorithms k-means and Ward's method are used to cluster items into homogenous groups to be managed with uniform inventory control policies. This unsupervised step reduces the need for computationally expensive inventory system control simulations. The performance of this methodology was found to be significant but was strongly impacted by the intermediate feature transformation processes.

Clustering for inventory control systems / Balugani, E.; Lolli, F.; Gamberini, R.; Rimini, B.; Regattieri, A.. - 51:11(2018), pp. 1174-1179. ((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.2018.08.431].

Clustering for inventory control systems

Balugani, E.;Lolli, F.;Gamberini, R.;Rimini, B.;Regattieri, A.
2018

Abstract

Inventory control is one of the main activities in industrial plant management. Both process owners and line workers interact daily with stocks of components and finite products, and an effective management of these inventory levels is a key factor in an efficient manufacturing process. In this paper the algorithms k-means and Ward's method are used to cluster items into homogenous groups to be managed with uniform inventory control policies. This unsupervised step reduces the need for computationally expensive inventory system control simulations. The performance of this methodology was found to be significant but was strongly impacted by the intermediate feature transformation processes.
16th IFAC Symposium on Information Control Problems in Manufacturing (INCOM)
Bergamo, Italy
11-13 June 2018
51
1174
1179
Balugani, E.; Lolli, F.; Gamberini, R.; Rimini, B.; Regattieri, A.
Clustering for inventory control systems / Balugani, E.; Lolli, F.; Gamberini, R.; Rimini, B.; Regattieri, A.. - 51:11(2018), pp. 1174-1179. ((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.2018.08.431].
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S2405896318315581-main.pdf

accesso aperto

Descrizione: Versione dell'editore
Tipologia: Versione dell'editore (versione pubblicata)
Dimensione 552.08 kB
Formato Adobe PDF
552.08 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

Licenza Creative Commons
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

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1170853
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 2
social impact