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Advisor(s)
Abstract(s)
Traditional manufacturing solutions, based on centralized structures, are ineffective in unpredictable and volatile scenarios. Recent manufacturing paradigms, such as Holonic Manufacturing Systems, handle better these unpredictable situations but aren’t able to achieve the performance optimization levels displayed by the classical centralized solutions when the system runs without perturbations. This paper introduces a holonic manufacturing architecture that considers biological insights, namely emergence and self-organization, to achieve adaptation and responsiveness without degrading the performance optimization. For this purpose, self-organization and self-learning mechanisms embedded at micro and macro levels play an important role, as well the design of stabilizers to control the system nervousness in such dynamic and adaptive behaviour.
Description
Keywords
Self-organization Holonic manufacturing systems Distributed production control Bio-inspired engineering
Citation
Barbosa, José; Leitão, Paulo; Adam, Emmanuel; Trentesaux, Damien (2012). Self-organized holonic manufacturing systems combining adaptation and performance optimization. In 3rd IFIP/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems. Costa da Caparica: Springer. p.163-170. ISBN 978-3-642-28254-6
Publisher
Camarinha Matos, L.M; Shahamatnia, E; Nunes, G