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Adapter for Self-Learning Production Systems

  • Gonçalo Cândido
  • Giovanni Di Orio
  • José Barata
  • Sebastian Scholze
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 372)

Abstract

To face globalization challenges, modern production companies need to integrate the monitoring and control of secondary processes into shop floor core system to remain competitive and improve system performance and throughput. The research currently being done under the scope of Self-Learning Production Systems tries to fill this gap. Current work introduces the domain and a generic architecture, while focus over the responsible element for executing system adaptations according to current context: the Adapter. The Adapter architecture and its components are introduced as well as the generic Adaptation process. Early prototype scenarios applied to concrete real-world scenarios are also presented.

Keywords

Production Systems Context Awareness Service-Oriented Architecture Machine Learning Context Adaptation 

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Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • Gonçalo Cândido
    • 1
  • Giovanni Di Orio
    • 1
  • José Barata
    • 1
  • Sebastian Scholze
    • 2
  1. 1.CTS – UNINOVA, Dep. de Eng. Electrotécnica, Faculdade de Ciências e TecnologiaUniversidade Nova de LisboaCaparicaPortugal
  2. 2.Institute for Applied System TechnologyATB-BremenBremenGermany

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