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Multi-agent Framework for Supply Chain Dynamics Modelling with Information Sharing and Demand Forecast

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Digital Transformation and Global Society (DTGS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 858))

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Abstract

Supply chain management is struggling with a bunch of issues that appear during supply chain members coordination. Raising of supply chain complexity leads to the necessity of developing new software applications, which can be used for analysis of supply chain dynamics, storing data about it’s past and present states, predicting future behavior. This paper discusses current challenges in supply chain management and presents a model for the multi-agent framework in order to investigate supply chain dynamics.

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Author information

Authors and Affiliations

  1. Saint Petersburg State University, 7-9 Universitetskaya Emb., 199034, St Petersburg, Russia

    Daria L. Belykh & Gennady A. Botvin

Authors
  1. Daria L. Belykh
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  2. Gennady A. Botvin
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Corresponding author

Correspondence to Daria L. Belykh .

Editor information

Editors and Affiliations

  1. National Research University Higher School of Economics, St. Petersburg, Russia

    Daniel A. Alexandrov

  2. Saint Petersburg State University of Information Technologies, St. Petersburg, Russia

    Alexander V. Boukhanovsky

  3. Saint Petersburg State University of Information Technologies, St. Petersburg, Russia

    Andrei V. Chugunov

  4. National Research University Higher School of Economics, St. Petersburg, Russia

    Yury Kabanov

  5. National Research University Higher School of Economics, St. Petersburg, Russia

    Olessia Koltsova

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Belykh, D.L., Botvin, G.A. (2018). Multi-agent Framework for Supply Chain Dynamics Modelling with Information Sharing and Demand Forecast. In: Alexandrov, D., Boukhanovsky, A., Chugunov, A., Kabanov, Y., Koltsova, O. (eds) Digital Transformation and Global Society. DTGS 2018. Communications in Computer and Information Science, vol 858. Springer, Cham. https://doi.org/10.1007/978-3-030-02843-5_29

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  • DOI: https://doi.org/10.1007/978-3-030-02843-5_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02842-8

  • Online ISBN: 978-3-030-02843-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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