Skip to Main content Skip to Navigation
Conference papers

Adapter for Self-Learning Production Systems

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download
Contributor : Hal Ifip <>
Submitted on : Tuesday, September 13, 2016 - 3:22:44 PM
Last modification on : Thursday, June 4, 2020 - 6:26:03 PM
Long-term archiving on: : Wednesday, December 14, 2016 - 2:53:06 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Gonçalo Cândido, Giovanni Orio, José Barata, Sebastian Scholze. Adapter for Self-Learning Production Systems. 3rd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2012, Costa de Caparica, Portugal. pp.171-178, ⟨10.1007/978-3-642-28255-3_19⟩. ⟨hal-01365583⟩



Record views


Files downloads