Knowledge framework for intelligent manufacturing systems

  • Authors:
  • Ricardo Jardim-Goncalves;João Sarraipa;Carlos Agostinho;Hervé Panetto

  • Affiliations:
  • UNINOVA, DEE/FCT, Universidade Nova de Lisboa, Caparica, Portugal;Instituto de Desenvolvimento de Novas Tecnologias, UNINOVA-GRIS, Group for the Research in Interoperability of Systems, Caparica, Portugal;Instituto de Desenvolvimento de Novas Tecnologias, UNINOVA-GRIS, Group for the Research in Interoperability of Systems, Caparica, Portugal;CRAN, Nancy-University, CNRS, Nancy Cedex, France

  • Venue:
  • Journal of Intelligent Manufacturing
  • Year:
  • 2011

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Abstract

Nowadays, competition is experienced not only among companies but among global supply chains and business networks. There is a demand for intelligent world-class solutions capable of reinforcing partnerships and collaborations with an improved cross-cultural understanding. However due to the proliferation of terminology, organizations from similar business environments have trouble cooperating, and are experiencing difficulties exchanging electronically vital information, such as product and manufacturing data, even when using international standards. To address similar interoperability problems, the Intelligent manufacturing systems program ( http://www.ims.org/content/glossary ) is providing an opportunity to develop industry-led R&D initiatives, building common semantics and integrated solutions. The SMART-fm project was one of those initiatives. It led to the development of the international standard for product data representation and exchange in the furniture sector (ISO 10303-236) and identified the challenge of semantic interoperability which is today a major challenge in modern enterprise integration. This paper presents a knowledge framework to address that challenge and make interoperable intelligent manufacturing systems a reality. It proposes to use semantically enriched international product data standards, and knowledge representation elements as a basis for achieving seamless enterprise interoperability.