Ambient Intelligent Framework for Manufacturing Process文档.pdf

Ambient Intelligent Framework for Manufacturing Process Optimisation 1 1 1 Gearoid Hynes , Fergal Monaghan , David O’Sullivan 1 Digital Enterprise Research Institute, University Road, Galway, Ireland {gearoid.hynes, fergal.monaghan, david.osullivan}@ Abstract. This paper discusses a framework to optimise manufacturing processes for small to medium enterprises through the application of ambient intelligent technologies. To profit in today’s market, small manufacturers must be efficient and agile to minimise cost and to meet variable market demand. Smart tags, agent technology, multi-modal communication, semantic reasoning technology and context- aware applications can be leveraged to provide the manager with intuitive access to the real-time data describing the status of the shop floor environment. Two manufacturing processes are targeted for systemic innovation: shop floor control and machine maintenance. 1 Introduction Today’s market calls for smaller batch sizes of products with a larger range of variants of those products [1]. Market turbulence forces manufacturing plants to constantly adjust their production volume of products, variants and quantities. This is especially true of small to medium sized enterprises (SMEs) that rely on the flexibility and agility provided by their relatively small size to compete with larger competitors. SMEs have to meet the challenges of the increasing product variants and service content of products by innovating their manufacturing processes.