Product transfer is a problem commonly encountered in industry when a production has to be transferred from a source plant to a target plant. In this paper a strategy to assist product transfer is proposed. The strategy is based on latent variable models (LVMs) to relate the data available from one or more source plants with the (usually scarce) data available from the target plant, and on LVM inversion to estimate the target plant operating conditions. The inversion is performed within an optimization framework, which can handle constraints for both product quality variables and input variables. An experimental nanoparticle production process is used as a test bed to illustrate the benefits of the proposed strategy.

Supporting the transfer of products between different equipment through latent variable model inversion

MENEGHETTI, NATASCIA;TOMBA, EMANUELE;FACCO, PIERANTONIO;BEZZO, FABRIZIO;BAROLO, MASSIMILIANO
2013

Abstract

Product transfer is a problem commonly encountered in industry when a production has to be transferred from a source plant to a target plant. In this paper a strategy to assist product transfer is proposed. The strategy is based on latent variable models (LVMs) to relate the data available from one or more source plants with the (usually scarce) data available from the target plant, and on LVM inversion to estimate the target plant operating conditions. The inversion is performed within an optimization framework, which can handle constraints for both product quality variables and input variables. An experimental nanoparticle production process is used as a test bed to illustrate the benefits of the proposed strategy.
2013
Computer-Aided Chemical Engineering 32
23rd European Symposium on Computer-Aided Process Engineering
9780444632340
File in questo prodotto:
Non ci sono file associati a questo prodotto.
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/11577/2633050
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 2
  • OpenAlex ND
social impact