Metabolismo industrial inteligente en el proyecto de productos sostenibles

  1. Alejandro Manuel Martín-Gómez 1
  2. Francisco Aguayo-González 1
  3. Mariano Marcos-Bárcena 2
  4. Juan Ramón Lama-Ruiz 1
  1. 1 Universidad de Sevilla
    info

    Universidad de Sevilla

    Sevilla, España

    ROR https://ror.org/03yxnpp24

  2. 2 Universidad de Cádiz
    info

    Universidad de Cádiz

    Cádiz, España

    ROR https://ror.org/04mxxkb11

Journal:
DYNA management

ISSN: 2340-6585

Year of publication: 2015

Volume: 3

Issue: 1

Type: Article

DOI: 10.6036/MN7535 DIALNET GOOGLE SCHOLAR

More publications in: DYNA management

Abstract

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 for knowledge of sustainability 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 established under the perspective of the engineering life cycle of industrial products and processes. This approach supports 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