Introduction of Machine Learning in Production

An SME-specific, holistic guide

Manuel Savadogo, Malte Stonis ORCID Icon, Peter Nyhuis ORCID Icon
JournalIndustry 4.0 Science
Issue Volume 40, 2024, Edition 6, Pages 88-95
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Abstract

The relevance and added value of artificial intelligence (AI) and machine learning (ML) have increased significantly in recent years. Extensive potential has emerged, particularly in the area of production. However, the high complexity of ML and the lack of evidence of its added value often mean that particularly small and medium-sized enterprises (SMEs) do not engage further with its introduction and use. For this reason, a holistic guide has been developed that accompanies manufacturing SMEs from the identification of suitable use cases and maturity level analysis through to the implementation of measures and continuous improvement processes, providing the required concepts.

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Article

Machine learning offers a wide range of potential, especially in production, and is therefore becoming increasingly important. However, small and medium-sized businesses are lacking guidelines that are specifically tailored to their individual challenges to guide them step-by-step through the process. In conjunction with a potential analysis, the determination of relevant prerequisites and a maturity assessment, this article can serve as a guide for SMEs.

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Potentials: Innovation Leadership Management Strategy
Solutions: Process Management Production Control Production Planning

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