Evolving knowledge based product lifecycle management from a digital ecosystem to support automated manufacturing

  • Authors:
  • M. B. Raza;T. Kirkham;R. Harrison;R. P. Monfared;I. Haq;S. Wood

  • Affiliations:
  • Loughborough University, Loughborough, UK;The University of Nottingham, Nottingham, UK;Loughborough University, Loughborough, UK;Loughborough University, Loughborough, UK;Loughborough University, Loughborough, UK;The University of Nottingham, Nottingham, UK

  • Venue:
  • Proceedings of the International Conference on Management of Emergent Digital EcoSystems
  • Year:
  • 2009

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Abstract

This paper presents an approach at improving Product Lifecycle Management (PLM) in large scale multinational manufacturing companies using Ford Motor Company as a case study. The solution builds a software layer around an existing PLM infrastructure that uses Semantic Web Services (SWSs) to enable a new generation of PLM. This new PLM is then integrated into a digital ecosystem for factory automation using Ford Powertrain as a case study. The work illustrates how a Digital Business Ecosystem (DBE) can spur innovation and evolution in applications around this new type of PLM.