%0 Generic
%A Stokic, Dragan
%A Neves-Silva, Rui
%A Marques, Maria
%A Reimer, Philip
%A Ibarbia, Jon Agirre
%T Ambient intelligence based system for life-cycle management of complex manufacturing and assembly lines
%J IEEE International Conference on Industrial Informatics (INDIN)
%D 2007
%@ 1935-4576
%U https://hdl.handle.net/11556/2243
%X The key idea of the work presented is to explore how a combination of advanced Ambient Intelligence (AmI) and Knowledge Management (KM) technologies can be used to assure a sustainable and safe use of Manufacturing and Assembly Lines (MAL) and their infrastructure over their life-cycle. The specific intention is to reduce the whole service-life operational costs and impact of MAL, providing new ways to monitor on-line Life-Cycle Parameters (LCP) of MAL and improved services to support MAL throughout its whole life-cycle. The paper presents a new system for effective life cycle management of complex MAL, including computation of LCP based on information obtained from AmI systems within MAL, and delivery of improved services around MAL.
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