In the research area of scheduling, many simulation models were developed to test solutions, generally establish by optimization algorithms or heuristics. In the paper is presented is a simulation model for scheduling problems of orders in the case of a multiple production lines with shared resources. The studied problem deals with the management of a specific number of work teams available for many operations, with skills to consider in the assignment of the workloads. Moreover, the simulation model needs to consider the work teams' efficiency that depends on the season and on the production level. These characteristics are managed by software to test alternative solutions for the scheduling of the multi-product productions, where the lot size and the due dates changes order by order. To verify the simulation model, it was tested to a real case of a motorcycle production plant, where different scheduling rules were considered and assessed measuring the performances and their effect on a specific objective function based on lateness.

Production scheduling on multiple lines with shared resources / Costantino, Francesco; DI GRAVIO, Giulio; Nonino, Fabio; M., Cappannoli; T., Silvestri. - STAMPA. - 1:(2012), pp. 334-339. (Intervento presentato al convegno 24th European Modeling and Simulation Symposium, EMSS 2012 tenutosi a Vienna; Austria nel 19 September 2012 through 21 September 2012).

Production scheduling on multiple lines with shared resources

COSTANTINO, francesco
;
DI GRAVIO, GIULIO;NONINO, FABIO;
2012

Abstract

In the research area of scheduling, many simulation models were developed to test solutions, generally establish by optimization algorithms or heuristics. In the paper is presented is a simulation model for scheduling problems of orders in the case of a multiple production lines with shared resources. The studied problem deals with the management of a specific number of work teams available for many operations, with skills to consider in the assignment of the workloads. Moreover, the simulation model needs to consider the work teams' efficiency that depends on the season and on the production level. These characteristics are managed by software to test alternative solutions for the scheduling of the multi-product productions, where the lot size and the due dates changes order by order. To verify the simulation model, it was tested to a real case of a motorcycle production plant, where different scheduling rules were considered and assessed measuring the performances and their effect on a specific objective function based on lateness.
2012
24th European Modeling and Simulation Symposium, EMSS 2012
shared resources; multiple lines; mixed-model assembly; production scheduling
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Production scheduling on multiple lines with shared resources / Costantino, Francesco; DI GRAVIO, Giulio; Nonino, Fabio; M., Cappannoli; T., Silvestri. - STAMPA. - 1:(2012), pp. 334-339. (Intervento presentato al convegno 24th European Modeling and Simulation Symposium, EMSS 2012 tenutosi a Vienna; Austria nel 19 September 2012 through 21 September 2012).
File allegati a questo prodotto
File Dimensione Formato  
Costantino_Production-scheduling_2012.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 752.43 kB
Formato Adobe PDF
752.43 kB Adobe PDF   Contatta l'autore
Costantino_Frontespizio-indice_Production-scheduling_2012.pdf

solo gestori archivio

Tipologia: Altro materiale allegato
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 2.56 MB
Formato Adobe PDF
2.56 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/483377
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact