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Materials Management in Recovery Network: Integration of Distributed Data Sources

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Agent and Multi-Agent Systems. Technologies and Applications (KES-AMSTA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7327))

Abstract

Good organization of reverse logistics channels allows company to explore the additional value from extended life cycle of products. In order to be able to effectively plan flow of returns in recovery network a big number of data is needed. Moreover the exchange of information between the cooperating companies must be done in time efficient manner. The aim of this paper is to present a framework for information management among companies within recovery network. The recovery network for electronic equipment will be used as an example for theoretical considerations. The key factors and obstacles for coordination of recovery network will be identified. The requirements for integration platform functionality will be presented.

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References

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Author information

Authors and Affiliations

  1. Poznan University of Technology, Strzelecka 11, 60-965, Poznan, Poland

    Paulina Golinska

Authors
  1. Paulina Golinska
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Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000, Zagreb, Croatia

    Gordan Jezic  & Mario Kusek  & 

  2. Institute of Informatics (I-32), Division of Knowledge Management Systems, Wroclaw University of Technology, Str. Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc-Thanh Nguyen

  3. KES International, Shoreham-by-sea, P.O. Box 2115, BN43 9AF, UK

    Robert J. Howlett

  4. School of Electrical and Information Engineering, University of South Australia, Mawson Lakes Campus, 5095, Adelaide, SA, Australia

    Lakhmi C. Jain

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© 2012 Springer-Verlag Berlin Heidelberg

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Golinska, P. (2012). Materials Management in Recovery Network: Integration of Distributed Data Sources. In: Jezic, G., Kusek, M., Nguyen, NT., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems. Technologies and Applications. KES-AMSTA 2012. Lecture Notes in Computer Science(), vol 7327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30947-2_66

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  • DOI: https://doi.org/10.1007/978-3-642-30947-2_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30946-5

  • Online ISBN: 978-3-642-30947-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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