A Holistic Framework for AI Systems in Industrial Applications

Can Kaymakci (), Simon Wenninger () and Alexander Sauer ()
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Can Kaymakci: Fraunhofer Institute for Manufacturing Engineering and Automation IPA
Simon Wenninger: University of Applied Sciences Augsburg
Alexander Sauer: Fraunhofer Institute for Manufacturing Engineering and Automation IPA

A chapter in Innovation Through Information Systems, 2021, pp 78-93 from Springer

Abstract: 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.

Keywords: Manufacturing AI system; Intelligent agents; Machine learning (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-86797-3_6

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DOI: 10.1007/978-3-030-86797-3_6

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