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.
TitelThe Future of Smart Production for SME : A Methodological and Practical Approach Towards Digitalization in SMEs
RedaktørerOle Madsen, Ulrich Berger, Charles Møller, Astrid Heidemann Lassen, Brian Vejrum Waehrens, Casper Schou
Antal sider17
ISBN (Trykt)978-3-031-15427-0, 978-3-031-15430-0
ISBN (Elektronisk)978-3-031-15428-7
StatusUdgivet - 2022

Bibliografisk note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. All rights reserved.


Dyk ned i forskningsemnerne om 'Predictive Analytics Applications for Small and Medium-Sized Enterprises (SMEs) - A Mini Survey and Real-World Use Cases'. Sammen danner de et unikt fingeraftryk.