Modelling, Simulation and Economical Evaluation of Dry Food Manufacture at Different Production Scales

A. Almena, E. Lopez-Quiroga, C. Theodoropoulos, P. J. Fryer, S. Bakalis

Research output: Chapter in Book/Published conference outputChapter

Abstract

In this work, a modelling platform by which different manufacturing scenarios can be assessed both in terms of their financial performance and energy demand is presented. The production of a dried food product (cereal baby porridge) has been chosen as case study and four production scales were assessed: (i) Homemade, (ii) Food Incubator (FI), (iii) Distributed Net (DN) and (iv) Plant & Multi-plant Production, with throughput values ranging from 0.5 kg/h to 6500 kg/h. The proposed tool has been also applied to the UK dry baby food demand scale. Results show that DN represents the most convenient scale up to 275 kg/h of production rate, achieving similar profitability than centralised scenarios but providing more flexibility to product demand shifts.

Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
EditorsAntonio Espuna, Moises Graells, Luis Puigjaner
PublisherElsevier
Pages787-792
Number of pages6
Volume40
ISBN (Electronic)9780444639707
ISBN (Print)9780444639653
DOIs
Publication statusPublished - 9 Nov 2017
Event27th European Symposium on Computer Aided Process Engineering - Barcelona, Spain
Duration: 1 Oct 20175 Oct 2017

Publication series

NameComputer Aided Chemical Engineering
Volume40
ISSN (Print)1570-7946

Conference

Conference27th European Symposium on Computer Aided Process Engineering
Abbreviated titleESCAPE-27
Country/TerritorySpain
CityBarcelona
Period1/10/175/10/17

Keywords

  • Decentralised manufacturing
  • Dry food
  • Food processing
  • Simulation

Fingerprint

Dive into the research topics of 'Modelling, Simulation and Economical Evaluation of Dry Food Manufacture at Different Production Scales'. Together they form a unique fingerprint.

Cite this