İmalatta Makine Öğrenmesi Alanında Patent Analizi

Year 2024, Volume: 2024 Issue: 1, 80 - 94, 30.04.2024

Murat Akkalender , Haydar Yalçın

https://doi.org/10.56337/sbm.1461449

Abstract

Patent analizi, 1980’den bu yana üretim için makine öğrenmesinde bir artış olduğunu ortaya koymaktadır ve geleneksel uygulamaların ötesindeki potansiyeline işaret etmektedir. Bu çalışma bu eğilimi üç temel soru aracılığıyla araştırmaktadır: Makine öğrenmesi kullanımının nasıl geliştiği, patentlerin hangi teknolojik alanları kapsadığı ve bu makine öğrenimi uygulamalarının nerede geliştirildiği. Analiz, makine öğrenmesinin çeşitli endüstrilerde tıbbi cihazlar ve kalite kontrol gibi alanları etkilediğini ortaya koymaktadır. Bu bulgular, makine öğrenmesinin verimliliği artırabileceğini, kaliteyi güvence altına alabileceğini ve yeniliği teşvik ederek belirli uygulamalara, üretkenlik etkilerine ve potansiyel zorluklara yönelik gelecekteki araştırmaların önünü açabileceğini göstermektedir. Lens.org’dan alınan patent verileri BibExcel, Pajek, ve VOSviewer kullanılarak görselleştirilmiştir.

Keywords

Makine Öğrenmesi, İmalat, Akıllı Üretim, Patent Analizi, Endüstri 4.0

Patent Analysis in the Realm of Machine Learning in Manufacturing

Abstract

Patent analysis reveals a surge in machine learning for manufacturing since 1980, hinting at its potential beyond traditional applications. This study explores this trend through three key questions: how machine learning use is evolving, what technological areas patents cover, and where these machine learning applications are being developed. The analysis finds machine learning impacting areas like medical devices and quality control across various industries. These findings suggest that machine learning can improve efficiency, ensure quality, and drive innovation, paving the way for future research into specific applications, productivity impacts, and potential challenges. Patent data from Lens.org was visualized employing of BibExcel, Pajek and VOSviewer.

Keywords

Machine Learning, Manufacturing, Smart Manufacturing, Patent Analysis, Industry 4.0

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