• DocumentCode
    1854243
  • Title

    Engineering intelligence - Product-service concepts and requirements in industry

  • Author

    Lanz, Minna ; Nykanen, Ossi ; Aaltonen, Jussi ; Ranta, Pekka A. ; Koskinen, Kari T. ; Andersson, Pernille H.

  • Author_Institution
    Tampere Univ. of Technol., Tampere, Finland
  • fYear
    2013
  • fDate
    July 30 2013-Aug. 2 2013
  • Firstpage
    138
  • Lastpage
    141
  • Abstract
    European manufacturing and construction sector is wrestling with the fundamental and rapid changes in their business environment. Business environment is becoming more dynamic and distributed, thus old standardization and mass-customization methods can no longer support the companies. In order to survive the companies must be able to offer fully customized product-service concepts instead of technical solutions. This causes challenges relating to efficiency of collaboration, utilization of information flows, agility and interoperability of technical solutions and operation culture. The products, processes and services need to be designed “for humans by humans”. The competence development methods and enhanced learning have to be comprehensively taken into account. This paper summarizes the challenges among industry and provides a new approach Engineering Intelligence Ecosystem (EIE) that addresses aforementioned challenges of complex engineering systems.
  • Keywords
    artificial intelligence; construction industry; engineering information systems; mass production; product customisation; production engineering computing; Europe; business environment; company survival; competence development methods; construction sector; engineering intelligence ecosystem; information flow; learning enhancement; manufacturing sectors; mass customization; product-service customization; standardization; technical solution interoperability; Artificial intelligence; Biological system modeling; Business; Collaboration; Ecosystems; Manufacturing; Semantics; built environment; collaborative environment; competence development; context-awareness; customer participation; factories of future; intelligent business process; machine systems; manufacturing; production systems; semantic knowledge modelling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Assembly and Manufacturing (ISAM), 2013 IEEE International Symposium on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4799-1656-6
  • Type

    conf

  • DOI
    10.1109/ISAM.2013.6643510
  • Filename
    6643510