A semantic framework for sustainable factories

Walter Terkaj, Ludovico Danza, Anna Devitofrancesco, Stefano Gagliardo, Matteo Ghellere, Franca Giannini, Marina Monti, Giulia Pedrielli, Marco Sacco, Francesco Salamone

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

The world's energy consumption has doubled over the past 40 years and it is estimated that one-third comes from industry. Therefore, an increase of the efficiency in energy use in industries would greatly benefit the sustainability of the factories and consequently of the whole environment and society. A factory is a complex entity constituted by possibly networked plants which produce a set of products performing several processes requiring a set of production resources. All these aspects need to be considered as a whole especially is sustainability is of concern. However, this need implies the collaboration between several actors and tools having remarkably different competences and scopes. This paper presents a holistic framework, named Sustainable Factory Semantic Framework (SuFSeF), aiming at integrating digital models and tools to support the design and management of a sustainable factory thanks to its complete virtual representation. This framework extends the Virtual Factory Framework (VFF), outcome of a European research project, by characterizing the industrial building and considering energy and environmental sustainability of the factory during its lifecycle. Both commercial and prototypal software tools can be integrated in the framework. Specifically, the attention will be focused on tools to support the sustainability assessment during the factory design phase, 3D design tools, and the monitoring of the key energy-environmental indicators during the factory operating phase.

Original languageEnglish (US)
Pages (from-to)547-552
Number of pages6
JournalUnknown Journal
Volume17
DOIs
StatePublished - 2014
Externally publishedYes

Fingerprint

Semantics
Industrial plants
Industry
Mental Competency
Sustainable development
Software
Research
Energy utilization
Monitoring

Keywords

  • Data modelling
  • Life cycle analysis
  • Sustainable factory
  • Virtual factory

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Control and Systems Engineering

Cite this

Terkaj, W., Danza, L., Devitofrancesco, A., Gagliardo, S., Ghellere, M., Giannini, F., ... Salamone, F. (2014). A semantic framework for sustainable factories. Unknown Journal, 17, 547-552. https://doi.org/10.1016/j.procir.2014.01.059

A semantic framework for sustainable factories. / Terkaj, Walter; Danza, Ludovico; Devitofrancesco, Anna; Gagliardo, Stefano; Ghellere, Matteo; Giannini, Franca; Monti, Marina; Pedrielli, Giulia; Sacco, Marco; Salamone, Francesco.

In: Unknown Journal, Vol. 17, 2014, p. 547-552.

Research output: Contribution to journalArticle

Terkaj, W, Danza, L, Devitofrancesco, A, Gagliardo, S, Ghellere, M, Giannini, F, Monti, M, Pedrielli, G, Sacco, M & Salamone, F 2014, 'A semantic framework for sustainable factories', Unknown Journal, vol. 17, pp. 547-552. https://doi.org/10.1016/j.procir.2014.01.059
Terkaj W, Danza L, Devitofrancesco A, Gagliardo S, Ghellere M, Giannini F et al. A semantic framework for sustainable factories. Unknown Journal. 2014;17:547-552. https://doi.org/10.1016/j.procir.2014.01.059
Terkaj, Walter ; Danza, Ludovico ; Devitofrancesco, Anna ; Gagliardo, Stefano ; Ghellere, Matteo ; Giannini, Franca ; Monti, Marina ; Pedrielli, Giulia ; Sacco, Marco ; Salamone, Francesco. / A semantic framework for sustainable factories. In: Unknown Journal. 2014 ; Vol. 17. pp. 547-552.
@article{d95eb6bd8e5a457d94004594365769e1,
title = "A semantic framework for sustainable factories",
abstract = "The world's energy consumption has doubled over the past 40 years and it is estimated that one-third comes from industry. Therefore, an increase of the efficiency in energy use in industries would greatly benefit the sustainability of the factories and consequently of the whole environment and society. A factory is a complex entity constituted by possibly networked plants which produce a set of products performing several processes requiring a set of production resources. All these aspects need to be considered as a whole especially is sustainability is of concern. However, this need implies the collaboration between several actors and tools having remarkably different competences and scopes. This paper presents a holistic framework, named Sustainable Factory Semantic Framework (SuFSeF), aiming at integrating digital models and tools to support the design and management of a sustainable factory thanks to its complete virtual representation. This framework extends the Virtual Factory Framework (VFF), outcome of a European research project, by characterizing the industrial building and considering energy and environmental sustainability of the factory during its lifecycle. Both commercial and prototypal software tools can be integrated in the framework. Specifically, the attention will be focused on tools to support the sustainability assessment during the factory design phase, 3D design tools, and the monitoring of the key energy-environmental indicators during the factory operating phase.",
keywords = "Data modelling, Life cycle analysis, Sustainable factory, Virtual factory",
author = "Walter Terkaj and Ludovico Danza and Anna Devitofrancesco and Stefano Gagliardo and Matteo Ghellere and Franca Giannini and Marina Monti and Giulia Pedrielli and Marco Sacco and Francesco Salamone",
year = "2014",
doi = "10.1016/j.procir.2014.01.059",
language = "English (US)",
volume = "17",
pages = "547--552",
journal = "Scanning Electron Microscopy",
issn = "0586-5581",
publisher = "Scanning Microscopy International",

}

TY - JOUR

T1 - A semantic framework for sustainable factories

AU - Terkaj, Walter

AU - Danza, Ludovico

AU - Devitofrancesco, Anna

AU - Gagliardo, Stefano

AU - Ghellere, Matteo

AU - Giannini, Franca

AU - Monti, Marina

AU - Pedrielli, Giulia

AU - Sacco, Marco

AU - Salamone, Francesco

PY - 2014

Y1 - 2014

N2 - The world's energy consumption has doubled over the past 40 years and it is estimated that one-third comes from industry. Therefore, an increase of the efficiency in energy use in industries would greatly benefit the sustainability of the factories and consequently of the whole environment and society. A factory is a complex entity constituted by possibly networked plants which produce a set of products performing several processes requiring a set of production resources. All these aspects need to be considered as a whole especially is sustainability is of concern. However, this need implies the collaboration between several actors and tools having remarkably different competences and scopes. This paper presents a holistic framework, named Sustainable Factory Semantic Framework (SuFSeF), aiming at integrating digital models and tools to support the design and management of a sustainable factory thanks to its complete virtual representation. This framework extends the Virtual Factory Framework (VFF), outcome of a European research project, by characterizing the industrial building and considering energy and environmental sustainability of the factory during its lifecycle. Both commercial and prototypal software tools can be integrated in the framework. Specifically, the attention will be focused on tools to support the sustainability assessment during the factory design phase, 3D design tools, and the monitoring of the key energy-environmental indicators during the factory operating phase.

AB - The world's energy consumption has doubled over the past 40 years and it is estimated that one-third comes from industry. Therefore, an increase of the efficiency in energy use in industries would greatly benefit the sustainability of the factories and consequently of the whole environment and society. A factory is a complex entity constituted by possibly networked plants which produce a set of products performing several processes requiring a set of production resources. All these aspects need to be considered as a whole especially is sustainability is of concern. However, this need implies the collaboration between several actors and tools having remarkably different competences and scopes. This paper presents a holistic framework, named Sustainable Factory Semantic Framework (SuFSeF), aiming at integrating digital models and tools to support the design and management of a sustainable factory thanks to its complete virtual representation. This framework extends the Virtual Factory Framework (VFF), outcome of a European research project, by characterizing the industrial building and considering energy and environmental sustainability of the factory during its lifecycle. Both commercial and prototypal software tools can be integrated in the framework. Specifically, the attention will be focused on tools to support the sustainability assessment during the factory design phase, 3D design tools, and the monitoring of the key energy-environmental indicators during the factory operating phase.

KW - Data modelling

KW - Life cycle analysis

KW - Sustainable factory

KW - Virtual factory

UR - http://www.scopus.com/inward/record.url?scp=84904469333&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84904469333&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2014.01.059

DO - 10.1016/j.procir.2014.01.059

M3 - Article

AN - SCOPUS:84904469333

VL - 17

SP - 547

EP - 552

JO - Scanning Electron Microscopy

JF - Scanning Electron Microscopy

SN - 0586-5581

ER -