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
N1 - Funding Information:
The research reported in this paper has been partially funded by the MIUR under the Italian flagship project “La Fabbrica del Futuro”, Subproject 1, project “Sustainable Factory Semantic Framework”, and Subproject 2, project “Product and Process Co-Evolution Management via Modular Pallet configuration”, and by the European Union 7th FP (FP7/2007–2013) under the grant agreement No: 262044, VISION Advanced Infrastructure for Research (VISIONAIR).
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 - Conference article
AN - SCOPUS:84904469333
SN - 2212-8271
VL - 17
SP - 547
EP - 552
JO - Procedia CIRP
JF - Procedia CIRP
T2 - 47th CIRP Conference on Manufacturing Systems, CMS 2014
Y2 - 28 April 2014 through 30 April 2014
ER -