Abstract
Predictive analytics is becoming more mature and is gaining traction in smart manufacturing around the world. Over the past decade, predictive analytics has hence reached a plateau of productivity while techniques and tools became more robust and accessible. Small- and medium-sized enterprises have to seize these new opportunities in order to optimize and embed analytics in high-value business scenarios and improve their competitiveness. However, getting started with predictive modeling can seem like an insurmountable feat for SMEs, why inspiration and pointers to real-world applications can be valuable. In this paper, we first introduce current trends in predictive analytics followed by a mini survey showcasing interesting real-world use cases in SMEs. Finally, we present common algorithms and models, followed by two recent real-world applications in Danish SMEs.
Originalsprog | Engelsk |
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Titel | The Future of Smart Production for SME : A Methodological and Practical Approach Towards Digitalization in SMEs |
Redaktører | Ole Madsen, Ulrich Berger, Charles Møller, Astrid Heidemann Lassen, Brian Vejrum Waehrens, Casper Schou |
Antal sider | 17 |
Forlag | Springer |
Publikationsdato | 2022 |
Sider | 263-279 |
ISBN (Trykt) | 978-3-031-15427-0, 978-3-031-15430-0 |
ISBN (Elektronisk) | 978-3-031-15428-7 |
DOI | |
Status | Udgivet - 2022 |
Bibliografisk note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. All rights reserved.