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Development of a Holistic Method to Implement Artificial Intelligence in Manufacturing Areas

: Pokorni, Bastian; Volz, Fabian; Zwerina, Jan; Hämmerle, Moritz


Ahram, T.:
Advances in Artificial Intelligence, Software and Systems Engineering : Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, July 16-20, 2020, USA
Cham: Springer Nature, 2021 (Advances in Intelligent Systems and Computing 1213)
ISBN: 978-3-030-51327-6 (Print)
ISBN: 978-3-030-51328-3 (Online)
ISBN: 978-3-030-51329-0
International Conference on Applied Human Factors and Ergonomics (AHFE) <11, 2020, Online>
Conference on Software and Systems Engineering, and Artificial Intelligence and Social Computing <2020, Online>
Conference Paper
Fraunhofer IAO ()

Cognitive systems are finding their way into factories. Production plants are increasingly decentralized and optimize themselves independently within the Smart Factory. The overall conditions for using AI have improved dramatically in the last years: high computing power, available storage capacity by low costs and new methods of machine learning. More and more companies want to introduce AI in their production. At present, due to a lack of experience, there is a lack of systematic procedures for AI implementations in manufacturing. The possibilities of AI in manufacturing are extensive, but the wealth of experience is limited. The paper presents a method for the implementation of AI in companies, preferably in manufacturing. This method will support companies in the introduction of AI in manufacturing. The aim is to identify individual potentials for AI applications, generate a suitable use case for the company and implement it according the specific company environment.