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Artificial Intelligence An International Perspective pp 217–245Cite as

Supply Chain Business Intelligence: Technologies, Issues and Trends

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5640))

Abstract

Supply chains are complex systems with silos of information that are very difficult to integrate and analyze. The best way to effectively analyze these disparate systems is the use of Business Intelligence (BI). The ability to make and then to process the right decision at the right time in collaboration with the right partners is the definition of the successful use of BI. This chapter discusses the need for Supply Chain Business Intelligence, introduces driving forces for its adoption and describes the supply chain BI architecture. The global supply chain performance measurement system based on the process reference model is described. The main cutting-edge technologies such as service-oriented architecture (SOA), business activity monitoring (BAM), web portals, data mining, and their role in BI systems are also discussed. Finally, key BI trends and technologies that will influence future systems are described.

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Author information

Authors and Affiliations

  1. Information Systems Department, Zastava Automobiles, Kragujevac, Serbia

    Nenad Stefanovic

  2. Faculty of Science, University of Kragujevac, Serbia

    Dusan Stefanovic

Authors
  1. Nenad Stefanovic
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  2. Dusan Stefanovic
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Editor information

Editors and Affiliations

  1. School of Computing, Lion Terrace, University of Portsmouth, PO1 3HE, Portsmouth, Hants, UK

    Max Bramer

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© 2009 IFIP International Federation for Information Processing

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Stefanovic, N., Stefanovic, D. (2009). Supply Chain Business Intelligence: Technologies, Issues and Trends. In: Bramer, M. (eds) Artificial Intelligence An International Perspective. Lecture Notes in Computer Science(), vol 5640. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03226-4_12

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  • DOI: https://doi.org/10.1007/978-3-642-03226-4_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03225-7

  • Online ISBN: 978-3-642-03226-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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