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Evolving knowledge based product lifecycle management from a digital ecosystem to support automated manufacturing
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Source International Conference on Management of Emergent Digital EcoSystems archive
Proceedings of the International Conference on Management of Emergent Digital EcoSystems table of contents
France
SESSION: Case studies (CS) table of contents
Article No. 66  
Year of Publication: 2009
ISBN:978-1-60558-829-2
Authors
M. B. Raza  Loughborough University, Loughborough, UK
T. Kirkham  The University of Nottingham, Nottingham, UK
R. Harrison  Loughborough University, Loughborough, UK
R. P. Monfared  Loughborough University, Loughborough, UK
I. Haq  Loughborough University, Loughborough, UK
S. Wood  The University of Nottingham, Nottingham, UK
Sponsor
: The French Chapter of ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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