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A Holistic Framework for AI Systems in Industrial Applications

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Innovation Through Information Systems (WI 2021)

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 47))

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Abstract

Although several promising use cases for artificial intelligence (AI) for manufacturing companies have been identified, these are not yet widely used. Existing literature covers a variety of frameworks, methods and processes related to AI systems. However, the application of AI systems in manufacturing companies lacks a uniform understanding of components and functionalities as well as a structured process that supports developers and project managers in planning, implementing, and optimizing AI systems. To close this gap, we develop a generic conceptual model of an AI system for the application in manufacturing systems and a four-phase model to guide developers and project managers through the realization of AI systems.

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Author information

Authors and Affiliations

  1. Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Stuttgart, Germany

    Can Kaymakci & Alexander Sauer

  2. Institute for Energy Efficiency in Production EEP, University of Stuttgart, Stuttgart, Germany

    Can Kaymakci & Alexander Sauer

  3. FIM Research Center, University of Applied Sciences Augsburg, Augsburg, Germany

    Simon Wenninger

  4. Project Group Business and Information Systems Engineering of the Fraunhofer FIT, Augsburg, Germany

    Simon Wenninger

Authors
  1. Can Kaymakci
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  2. Simon Wenninger
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  3. Alexander Sauer
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Corresponding author

Correspondence to Can Kaymakci .

Editor information

Editors and Affiliations

  1. Faculty of Business Administration and Economics, University of Duisburg-Essen, Essen, Germany

    Frederik Ahlemann

  2. Faculty of Business Administration and Economics, University of Duisburg-Essen, Essen, Germany

    Reinhard Schütte

  3. Department of Computer Science and Applied Cognitive Science, University of Duisburg-Essen, Duisburg, Germany

    Stefan Stieglitz

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Kaymakci, C., Wenninger, S., Sauer, A. (2021). A Holistic Framework for AI Systems in Industrial Applications. In: Ahlemann, F., Schütte, R., Stieglitz, S. (eds) Innovation Through Information Systems. WI 2021. Lecture Notes in Information Systems and Organisation, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-030-86797-3_6

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  • DOI: https://doi.org/10.1007/978-3-030-86797-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86796-6

  • Online ISBN: 978-3-030-86797-3

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