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Please use this identifier to cite or link to this item: http://hdl.handle.net/10198/7734

Título: Self-organized holonic manufacturing systems combining adaptation and performance optimization
Autor: Barbosa, José
Leitão, Paulo
Adam, Emmanuel
Trentesaux, Damien
Palavras-chave: Self-organization
Holonic manufacturing systems
Distributed production control
Bio-inspired engineering
Issue Date: 2012
Editora: Camarinha Matos, L.M; Shahamatnia, E; Nunes, G
Citação: 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, Portugal. 372, p.163-170
Resumo: 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.
Arbitragem científica: yes
URI: http://hdl.handle.net/10198/7734
Appears in Collections:DE - Publicações em Proceedings Indexadas ao ISI

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