Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, Epiciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
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.
https://hal.inria.fr/hal-01365583 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Tuesday, September 13, 2016 - 3:22:44 PM Last modification on : Tuesday, June 29, 2021 - 12:20:08 PM Long-term archiving on: : Wednesday, December 14, 2016 - 2:53:06 PM
Gonçalo Cândido, Giovanni Di 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⟩