Stokic, DraganNeves-Silva, RuiMarques, MariaReimer, PhilipIbarbia, Jon Agirre2024-07-242024-07-242007Stokic , D , Neves-Silva , R , Marques , M , Reimer , P & Ibarbia , J A 2007 , Ambient intelligence based system for life-cycle management of complex manufacturing and assembly lines . in INDIN 2007 Conference Proceedings - 5th IEEE International Conference on Industrial Informatics . , 4384901 , IEEE International Conference on Industrial Informatics (INDIN) , vol. 2 , Institute of Electrical and Electronics Engineers Inc. , pp. 1197-1202 , INDIN 2007 - 5th IEEE International Conference on Industrial Informatics , Vienna , Austria , 23/06/07 . https://doi.org/10.1109/INDIN.2007.4384901conference142440864497814244086411935-4576https://hdl.handle.net/11556/2243The 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.6enginfo:eu-repo/semantics/restrictedAccessconference output10.1109/INDIN.2007.4384901Computer Science ApplicationsInformation SystemsSDG 9 - Industry, Innovation, and Infrastructurehttp://www.scopus.com/inward/record.url?scp=39749141552&partnerID=8YFLogxK