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INTELLIGENT INDUSTRIAL METABOLISM IN THE SUSTAINABLE PRODUCTS PROJECT

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JANUARY-DECEMBER 2015   -  Volume: 3 -  Pages: [13 p.]

DOI:

https://doi.org/10.6036/MN7535

Authors:

ALEJANDRO MANUEL MARTÍN GÓMEZ
- FRANCISCO AGUAYO GONZALEZ -
JUAN RAMON LAMA RUIZ
- MARIANO MARCOS BARCENA

Disciplines:

  • Environmental technology and engineering (DESARROLLO SOSTENIBLE )

Downloads:   303

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Received Date :   16 January 2015

Accepted Date :   23 March 2015


Key words:
Sostenibilidad, Ecodiseño, Ontología, Sistemas Multiagente, Proyectos de Sistemas Multiagente, Metabolismo Industrial Inteligente, Sustainability, Eco-design, Ontology, Multi-agent Systems, Multi-agent Systems Projects, Intelligent Industrial Metabolism.
Article type:
ARTICULO DE INVESTIGACION / RESEARCH ARTICLE
Section:
RESEARCH ARTICLES

Industrial systems, in the current technological, legal and economic context, require the addition of more sustainable, flexible and intelligent processes, aimed at mitigating the global metabolic rift with proactive character from design phase. This work proposes the development and implementation of an ontology of sustainability information that supports intelligently the management of Industrial Metabolism, enabling the closure of material cycles in industrial ecosystems from eco-compatibility and efficiency. The proposal made is concreted in an application that meets the information requirements of design tasks in the domain of design materialization of Genomic Model of Eco-design and Eco-innovation (MGE2). The proposal is formulated under a brokering architecture of Intelligent Multi-agent Systems, which are used for integration of the ontology proposed in the perspective of the engineering life cycle of industrial products and processes, supporting engineers in design tasks oriented the closing of material cycles on the technosphere under toxicity and efficiency criteria. With regard to ontology the objective is to establish a transversal ontology of information that fosters collaborative work and a specific ontology to maintain individual autonomy, allowing decision making to ensure the sustainability of products and processes. The developed ontology is integrated into a Multi-agent System and applied in a case study.

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