Manufacturing industrial systems are complex systems whose performance is characterized by interactions among different parts of the system as well as by stochastic phenomena affecting the operation of the parts themselves.A key aspect in studying a complex system is the ability to model its evolution over time and, as a consequence, to identify, from a statistical point of view, the trend of the performance measures (i.e. productivity) over time. Discrete event system simulation (DESS) is certainly the widespread technique adopted to this aim.In this paper, a methodology to characterize the trend of the variance of the population for a flow-line production system is developed. The knowledge of the relation between the variance of the population and the system run time allows the analyst to better design simulation campaigns and define warm-up period. Moreover, this result is also useful when in-field tests have to be designed to certify performances of a newly deployed system.

A methodology for the design of simulation campaigns based on population variance characterization / Grassi, Andrea; Gebennini, Elisa; Perrica, Giuseppe; Fantuzzi, Cesare; Rimini, Bianca. - STAMPA. - (2010), pp. 323-327. ((Intervento presentato al convegno 22th European Modeling and Simulation Symposium, EMSS 2010 tenutosi a Fès, Morocco nel October 13-15, 2010.

A methodology for the design of simulation campaigns based on population variance characterization

GRASSI, Andrea;GEBENNINI, Elisa;PERRICA, Giuseppe;FANTUZZI, Cesare;RIMINI, Bianca
2010

Abstract

Manufacturing industrial systems are complex systems whose performance is characterized by interactions among different parts of the system as well as by stochastic phenomena affecting the operation of the parts themselves.A key aspect in studying a complex system is the ability to model its evolution over time and, as a consequence, to identify, from a statistical point of view, the trend of the performance measures (i.e. productivity) over time. Discrete event system simulation (DESS) is certainly the widespread technique adopted to this aim.In this paper, a methodology to characterize the trend of the variance of the population for a flow-line production system is developed. The knowledge of the relation between the variance of the population and the system run time allows the analyst to better design simulation campaigns and define warm-up period. Moreover, this result is also useful when in-field tests have to be designed to certify performances of a newly deployed system.
22th European Modeling and Simulation Symposium, EMSS 2010
Fès, Morocco
October 13-15, 2010
323
327
Grassi, Andrea; Gebennini, Elisa; Perrica, Giuseppe; Fantuzzi, Cesare; Rimini, Bianca
A methodology for the design of simulation campaigns based on population variance characterization / Grassi, Andrea; Gebennini, Elisa; Perrica, Giuseppe; Fantuzzi, Cesare; Rimini, Bianca. - STAMPA. - (2010), pp. 323-327. ((Intervento presentato al convegno 22th European Modeling and Simulation Symposium, EMSS 2010 tenutosi a Fès, Morocco nel October 13-15, 2010.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
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/11380/644249
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact