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Computational Intelligence in Logistics and Supply Chain Management

Author

Listed:
  • Thomas Hanne

    (University of Applied Sciences and Arts Northwestern Switzerland)

  • Rolf Dornberger

    (University of Applied Sciences and Arts Northwestern Switzerland)

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Suggested Citation

  • Thomas Hanne & Rolf Dornberger, 2017. "Computational Intelligence in Logistics and Supply Chain Management," International Series in Operations Research and Management Science, Springer, number 978-3-319-40722-7, April.
    • Handle: RePEc:spr:isorms:978-3-319-40722-7
    DOI: 10.1007/978-3-319-40722-7
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    Cited by:

    1. Tomasz Rokicki & Piotr Bórawski & Aneta Bełdycka-Bórawska, 2023. "Disruptions in the COVID-19 Pandemic in the Supply Chains of the Automotive Industry as Crucial for the Polish Economy," Sustainability, MDPI, vol. 16(1), pages 1-19, December.
    2. Baumgärtner, Nils & Shu, David & Bahl, Björn & Hennen, Maike & Hollermann, Dinah Elena & Bardow, André, 2020. "DeLoop: Decomposition-based Long-term operational optimization of energy systems with time-coupling constraints," Energy, Elsevier, vol. 198(C).
    3. Tomasz Rokicki & Piotr Bórawski & Aneta Bełdycka-Bórawska & András Szeberényi & Aleksandra Perkowska, 2022. "Changes in Logistics Activities in Poland as a Result of the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(16), pages 1-24, August.

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