Abstract: Parts feeding is a complex logistic problem, stressed by the increasing product variety that forces the assembly systems to manage a great number of models with a mixed model approach. In this context a possible parts feeding policy is the “station-sequence”, sequences of parts supplied to the assembly stations as function of the production models. This parts feeding policy can reduce stocks at the assembly stations, but offers potential production stops due to its low robustness. Different external elements can perturb the parts sequences (i.e. changing in production schedule, tasks times variation, variable supply lead times, etc.). The aim of this paper is to study, through a simulation study and a statistical analysis, the station-sequence part feeding policy considering its dynamic time-dependence the impact of the model mix and time perturbations on the system performance. Authors discuss the possible application of the real time events traceability, achievable through the I4.0 application, in order to mitigate the variability influence on the system performances.

“Station-Sequence” parts feeding in mixed models assembly: Impact of variations and industry 4.0 possible solutions

Faccio M.;Gamberi M.;Pilati F.
2020

Abstract

Abstract: Parts feeding is a complex logistic problem, stressed by the increasing product variety that forces the assembly systems to manage a great number of models with a mixed model approach. In this context a possible parts feeding policy is the “station-sequence”, sequences of parts supplied to the assembly stations as function of the production models. This parts feeding policy can reduce stocks at the assembly stations, but offers potential production stops due to its low robustness. Different external elements can perturb the parts sequences (i.e. changing in production schedule, tasks times variation, variable supply lead times, etc.). The aim of this paper is to study, through a simulation study and a statistical analysis, the station-sequence part feeding policy considering its dynamic time-dependence the impact of the model mix and time perturbations on the system performance. Authors discuss the possible application of the real time events traceability, achievable through the I4.0 application, in order to mitigate the variability influence on the system performances.
Proceeding of IFAC World Congress 2020, Germany
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

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/11577/3381056
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact