Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1559
Título: Autonomic computing for scheduling in manufacturing systems
Autor: Madureira, Ana Maria
Pereira, Ivo
Sousa, Nelson
Ávila, Paulo
Bastos, João
Palavras-chave: Scheduling
Data: 2009
Resumo: We describe a novel approach to scheduling resolution by combining Autonomic Computing (AC), Multi-Agent Systems (MAS) and Nature Inspired Optimization Techniques (NIT). Autonomic Computing has emerged as paradigm aiming at embedding applications with a management structure similar to a central nervous system. A natural Autonomic Computing evolution in relation to Current Computing is to provide systems with Self-Managing ability with a minimum human interference. In this paper we envisage the use of Multi-Agent Systems paradigm for supporting dynamic and distributed scheduling in Manufacturing Systems with Autonomic properties, in order to reduce the complexity of managing systems and human interference. Additionally, we consider the resolution of realistic problems. The scheduling of a Cutting and Treatment Stainless Steel Sheet Line will be evaluated. Results show that proposed approach has advantages when compared with other scheduling systems.
URI: http://hdl.handle.net/10400.22/1559
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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