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Supply Chain Management on Demand pp 287–311Cite as

Sense and Respond Business Performance Management

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Keywords

  • Supply Chain
  • Business Process
  • Demand Forecast
  • Supply Chain Planning
  • Transactional Data

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  • DOI: 10.1007/3-540-27354-9_12
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References

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Author information

Authors and Affiliations

  1. Thomas J. Watson Research Center, IBM Research Division, P.O. Box 218, Yorktown Heights, NY, 10598

    Steve Buckley

  2. IBM T.J. Watson Research Division, P.O. Box 218, Yorktown Heights, NY, 10598

    Markus Ettl

  3. IBM Business Consulting Services, P.O. Box 218, Yorktown Heights, NY, 10598

    Grace Lin

  4. IBM Global Services, 294 Route 100, Somers, NY, 10589

    Ko-Yang Wang

Authors
  1. Steve Buckley
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  2. Markus Ettl
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  3. Grace Lin
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  4. Ko-Yang Wang
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Editor information

Editors and Affiliations

  1. IBM Software Group, 294 Route 100, Somers, NY, 10589, USA

    Chae An

  2. IBM Business Consulting Services, Pascalstr. 100, 70569, Stuttgart, Germany

    Hansjörg Fromm

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© 2005 Springer-Verlag Berlin Heidelberg

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Buckley, S., Ettl, M., Lin, G., Wang, KY. (2005). Sense and Respond Business Performance Management. In: An, C., Fromm, H. (eds) Supply Chain Management on Demand. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27354-9_12

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  • DOI: https://doi.org/10.1007/3-540-27354-9_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24423-3

  • Online ISBN: 978-3-540-27354-7

  • eBook Packages: Computer ScienceComputer Science (R0)