Adapter for Self-Learning Production Systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

o 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.
Original languageUnknown
Title of host publicationIFIP Advances in Information and Communication Technology
Pages171-178
Volume372
ISBN (Electronic)978-3-642-28255-3
DOIs
Publication statusPublished - 1 Jan 2012
Event3rd IFIP/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems -
Duration: 1 Jan 2012 → …

Conference

Conference3rd IFIP/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems
Period1/01/12 → …

Cite this

Barata Oliveira, J. A., & DEE Group Author (2012). Adapter for Self-Learning Production Systems. In IFIP Advances in Information and Communication Technology (Vol. 372, pp. 171-178) https://doi.org/10.1007/978-3-642-28255-3_19