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Artificial Intelligence of Things (AIoT) Strategies for a Smart Sustainable-Resilient Supply Chain

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Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures (APMS 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 691))

Abstract

Artificial intelligence (AI) in the Internet of Things (IoT), which is called artificial intelligence of things (AIoT), breaks the static streams of data and recognizes patterns that do not scale easily. The AIoT in addition to being a revolutionary technology for all industries has also shown its potential in processes (e.g., supply chain). Management, forecasting, and monitoring applications help the managers improve their company’s distribution operational efficiency and increase transparency in their decisions. Therefore, more than ever, the benefits of using these two technologies in the supply chain have been shown. This emerging technology not only causes change but is itself a response to the change toward sustainable development in industrial processes. This index along with other factors has a significant impact on the level of development. Thus, considering the importance of choosing the right technology in the success of development and economic growth of society, there are frameworks for implementing this hybrid smart technology in creating sustainability. This innovative framework has been created with an emphasis on combining these two valuable technologies. In this paper, the most important features and dimensions of sustainable and resilient supply chains based on these technologies are examined.

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Acknowledgements

This work was supported by the Grant Agency of the Czech Republic under the Project GACR 22-31670S.

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Authors and Affiliations

  1. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

    Hamed Nozari & Reza Tavakkoli-Moghaddam

  2. Industrial Informatics Department, Czech Institute of Informatics Robotics and Cybernetics, Czech Technical University in Prague, Prague, Czech Republic

    Mohammad Rohaninejad & Zdenek Hanzalek

Authors
  1. Hamed Nozari
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  2. Reza Tavakkoli-Moghaddam
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  3. Mohammad Rohaninejad
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  4. Zdenek Hanzalek
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Corresponding author

Correspondence to Mohammad Rohaninejad .

Editor information

Editors and Affiliations

  1. Norwegian University of Science and Technology, Trondheim, Norway

    Erlend Alfnes

  2. Norwegian University of Science and Technology, Trondheim, Norway

    Anita Romsdal

  3. Norwegian University of Science and Technology, Trondheim, Norway

    Jan Ola Strandhagen

  4. ZF Friedrichshafen AG, Friedrichshafen, Germany

    Gregor von Cieminski

  5. Tecnológico de Monterrey, Mexico City, Mexico

    David Romero

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Nozari, H., Tavakkoli-Moghaddam, R., Rohaninejad, M., Hanzalek, Z. (2023). Artificial Intelligence of Things (AIoT) Strategies for a Smart Sustainable-Resilient Supply Chain. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 691. Springer, Cham. https://doi.org/10.1007/978-3-031-43670-3_56

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  • DOI: https://doi.org/10.1007/978-3-031-43670-3_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43669-7

  • Online ISBN: 978-3-031-43670-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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