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

doi:10.1016/B978-0-444-63965-3.50133-1

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

Chemical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

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 language	English
Title of host publication	27th European Symposium on Computer Aided Process Engineering
Editors	Antonio Espuña, Moisès Graells, Luis Puigjaner
Publisher	Elsevier
Pages	787-792
Number of pages	6
ISBN (Electronic)	9780444639707
ISBN (Print)	9780444639653
DOIs	https://doi.org/10.1016/B978-0-444-63965-3.50133-1
Publication status	Published - 22 Sept 2017
Event	27th European Symposium on Computer-Aided Process Engineering - Barcelona, Spain Duration: 1 Oct 2017 → 5 Oct 2017

Publication series

Name	Computer Aided Chemical Engineering
Volume	40
ISSN (Print)	1570-7946

Conference

Conference	27th European Symposium on Computer-Aided Process Engineering
Abbreviated title	ESCAPE-27
Country/Territory	Spain
City	Barcelona
Period	1/10/17 → 5/10/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

Keywords

Decentralised manufacturing
Dry food
Food processing
Simulation

ASJC Scopus subject areas

General Chemical Engineering
Computer Science Applications

Access to Document

10.1016/B978-0-444-63965-3.50133-1Licence: None: All rights reserved

Brunel University lead - Centre for Sustainable Energy Use in Food Chains
Norton, I. (Co-Investigator), Fryer, P. (Principal Investigator) & Windridge, D. (Co-Investigator)
Engineering & Physical Science Research Council
1/04/13 → 30/06/19
Project: Research Councils

Cite this

Almena, A., Lopez-Quiroga, E., Theodoropoulos, C., Fryer, P. J., & Bakalis, S. (2017). Modelling, simulation and economical evaluation of dry food manufacture at different production scales. In A. Espuña, M. Graells, & L. Puigjaner (Eds.), 27th European Symposium on Computer Aided Process Engineering (pp. 787-792). (Computer Aided Chemical Engineering; Vol. 40). Elsevier. https://doi.org/10.1016/B978-0-444-63965-3.50133-1

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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.",

keywords = "Decentralised manufacturing, Dry food, Food processing, Simulation",

author = "A. Almena and E. Lopez-Quiroga and C. Theodoropoulos and Fryer, \{P. J.\} and S. Bakalis",

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Almena, A, Lopez-Quiroga, E, Theodoropoulos, C, Fryer, PJ & Bakalis, S 2017, Modelling, simulation and economical evaluation of dry food manufacture at different production scales. in A Espuña, M Graells & L Puigjaner (eds), 27th European Symposium on Computer Aided Process Engineering. Computer Aided Chemical Engineering, vol. 40, Elsevier, pp. 787-792, 27th European Symposium on Computer-Aided Process Engineering, Barcelona, Spain, 1/10/17. https://doi.org/10.1016/B978-0-444-63965-3.50133-1

Modelling, simulation and economical evaluation of dry food manufacture at different production scales. / Almena, A.; Lopez-Quiroga, E.; Theodoropoulos, C. et al.
27th European Symposium on Computer Aided Process Engineering. ed. / Antonio Espuña; Moisès Graells; Luis Puigjaner. Elsevier, 2017. p. 787-792 (Computer Aided Chemical Engineering; Vol. 40).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Modelling, simulation and economical evaluation of dry food manufacture at different production scales

AU - Almena, A.

AU - Lopez-Quiroga, E.

AU - Theodoropoulos, C.

AU - Fryer, P. J.

AU - Bakalis, S.

PY - 2017/9/22

Y1 - 2017/9/22

N2 - 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.

AB - 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.

KW - Decentralised manufacturing

KW - Dry food

KW - Food processing

KW - Simulation

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U2 - 10.1016/B978-0-444-63965-3.50133-1

DO - 10.1016/B978-0-444-63965-3.50133-1

M3 - Conference contribution

AN - SCOPUS:85041379943

SN - 9780444639653

T3 - Computer Aided Chemical Engineering

SP - 787

EP - 792

BT - 27th European Symposium on Computer Aided Process Engineering

A2 - Espuña, Antonio

A2 - Graells, Moisès

A2 - Puigjaner, Luis

PB - Elsevier

T2 - 27th European Symposium on Computer-Aided Process Engineering

Y2 - 1 October 2017 through 5 October 2017

ER -

Almena A, Lopez-Quiroga E, Theodoropoulos C, Fryer PJ, Bakalis S. Modelling, simulation and economical evaluation of dry food manufacture at different production scales. In Espuña A, Graells M, Puigjaner L, editors, 27th European Symposium on Computer Aided Process Engineering. Elsevier. 2017. p. 787-792. (Computer Aided Chemical Engineering). doi: 10.1016/B978-0-444-63965-3.50133-1

Modelling, simulation and economical evaluation of dry food manufacture at different production scales

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Projects

Brunel University lead - Centre for Sustainable Energy Use in Food Chains

Cite this