Context extraction for self-learning production systems

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

17 Citations (Scopus)

Abstract

A new approach for the realisation of self-learning production systems based on a context aware approach, allowing self-adaptation of flexible manufacturing processes in production systems, is presented. The usage of dynamically changing context for adaptation of flexible manufacturing lines/processes is proposed. The presented solution includes services for context extraction, adaptation and self-learning allowing high adaptation of production systems depending on the identified context. A generic architecture following Service Oriented Principles is presented allowing for integration of the proposed solution into various production systems. A successful application of the developed solution in real world manufacturing environment is presented.
Original languageUnknown
Title of host publicationIEEE International Conference on Industrial Informatics INDIN
Pages809-814
DOIs
Publication statusPublished - 1 Jan 2012
Event10th IEEE International Conference on Industrial Informatics (INDIN) -
Duration: 1 Jan 2012 → …

Conference

Conference10th IEEE International Conference on Industrial Informatics (INDIN)
Period1/01/12 → …

Cite this

Barata Oliveira, J. A., & DEE Group Author (2012). Context extraction for self-learning production systems. In IEEE International Conference on Industrial Informatics INDIN (pp. 809-814) https://doi.org/10.1109/INDIN.2012.6301132