InImpact: The Journal of Innovation Impact

Publisher Future Technology Press
Vol. 7 No. 2 KES Transactions on SDM I - Sustainable Design and Manufacturing 2014
Volume Editors KES International
Journal ISSN 2051-6002
Article TitleSelf-Learning Production Systems: A New Production Paradigm
Primary AuthorGiovanni Di Orio, CTS - UNINOVA
Other Author(s) Gonçalo Cândido; José Barata
Pages 887 - 898
Article ID sdm14-115
Publication Date 01-May-16
AbstractSelf-Learning Production System (SLPS) is a fundamental paradigm introduced to ensure industrial systems evolvability along time. Evolvability is considered as the capability of a system to change its behaviour, i.e. its internal status and/or parameters, according to different production contexts. The SLPS approach is intended to confer evolvable capabilities to a manufacturing production system by enhancing its monitoring and control solutions with context-awareness and data mining techniques. The key assumption is that the deep use of context-awareness and data mining techniques to extract, analyse, and process relevant data generated during production activities will ensure system adaptation. Current work is an effort to systematize the technical and theoretical developments in the context of SLPS in order to provide the baseline upon which SLPS solutions can be built.
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