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SAGE: An Ambient Intelligent Framework for Manufacturing

ARAN - Access to Research at NUI Galway

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dc.contributor.author Hynes, Gearoid en
dc.contributor.author Monaghan, Fergal en
dc.contributor.author Thai, VinhTuan en
dc.contributor.author O'Sullivan, David en
dc.date.accessioned 2009-12-03T15:50:44Z en
dc.date.available 2009-12-03T15:50:44Z en
dc.date.issued 2006 en
dc.identifier.citation Gearoid Hynes, Fergal Monaghan, VinhTuan Thai, Thomas Strang, David O'Sullivan "SAGE: An Ambient Intelligent Framework for Manufacturing", Proceedings of the 9th IFAC Symposium on Automated Systems Based on Human Skill and Knowledge (ASBoHS 2006), 2006. en
dc.identifier.uri http://hdl.handle.net/10379/483 en
dc.description.abstract To profit in today¿s market, small manufacturers must be efficient and agile to minimise cost and to meet variable market demand. This paper discusses an envisaged Semantic, Ambient, Generic and Extensible framework (SAGE) focused on the manufacturing environment. SAGE is based on the ambient intelligence philosophy which means it is focused on the human actor with the aim of aiding them to optimise their companies manufacturing processes. In order to achieve this goal SAGE combines several technologies: semantic reasoning, multi-modal communication and context-aware technologies within a Service Oriented Architecture (SOA). SAGE provides the manager with intuitive access to the real-time data describing the status of the shop floor environment and the ability to automate a response. Two manufacturing processes are targeted for systemic innovation: shop floor control and machine maintenance. Keywords: Manufacturing, Semantic Web, Context Awareness. en
dc.format application/pdf en
dc.language.iso en en
dc.subject.lcsh Success in business en
dc.subject.lcsh Small business -- Management en
dc.subject.lcsh Small business -- Growth en
dc.title SAGE: An Ambient Intelligent Framework for Manufacturing en
dc.type Conference paper en
dc.description.peer-reviewed peer-reviewed en
dc.contributor.funder Ambient Intelligence for Systemic Innovation in Manufacturing SMEs en

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