An agent-oriented architecture for F.M.S. control/monitoring

Tnazefti-Kerkeni, Insaf; Arantes, Luciana; Moalla, M.

doi:10.1109/cca.2003.1223151

Cited by 2 publications

(1 citation statement)

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“…Existing models of production, such as Flexible Manufacturing Systems (FMS) [5], Reconfigurable Manufacturing Systems (RMS) [6] and Collaborative Manufacturing Management (CMM) [7], are a basis for the application of multi-agent systems to solve and optimize the problems of production, due to the increase of introduced complexity [8]. Among the several publications reporting the application of MAS in automation and production systems, the reader can consult the reference [9] to retrieve more information on this topic.…”

Section: Overview Of Agent and Service Systems In Industrial Automationmentioning

confidence: 99%

Service-Oriented Agents for Collaborative Industrial Automation and Production Systems

Mendes

Leitão

Restivo

et al. 2009

Holonic and Multi-Agent Systems for Manufacturing

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Abstract. Service-oriented Multi-Agent Systems (SoMAS) is an approach to combine the fundamental characteristics of service-oriented and multi-agent methods into a new platform for industrial automation. Several research works already targeted the connection of these technologies, presenting different perspectives in how and why to join them. This research focuses on available efforts and solutions in the area of SoMAS and explains the idea behind the service-oriented agents in industrial automation. A SoMAS system is mainly composed by shared resources in form of services and their providing/requesting agents. The paper also discusses the required engineering aspects of these systems, from the internal anatomy to the interaction patterns. Parameters of flexibility, reconfiguration, autonomy and reduced development efforts were considered and they should be the trademark of SoMAS. Aiming to illustrate the proposed approach, an example of service-oriented automation agents is given.

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Section: Overview Of Agent and Service Systems In Industrial Automationmentioning

confidence: 99%