Digital Twin-Driven Intelligent Manufacturing of Internet of Things, Artificial Intelligent and Machine Learning Integration
International Symposium for Production Research, ISPR 2025, İstanbul, Türkiye, 9 - 11 Ekim 2025, ss.236-249, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1007/978-3-032-22784-3_22
- Basıldığı Şehir: İstanbul
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.236-249
- Anahtar Kelimeler: Digital Twin, Intelligent Manufacturing, Internet of Things, Machine Learning, Predictive Maintenance, Quality Control
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
This study provides a comprehensive review of how digital twin (DT), internet of things (IoT) and machine learning (ML) technologies are integrated within manufacturing, particularly focusing on predictive maintenance, production monitoring and quality control. This review explores the application of various ML techniques—including random forest, long short-term memory (LSTM) networks and hybrid models—in detecting anomalies, diagnosing faults and predicting the remaining useful life (RUL) of equipment. To ground the discussion in real-world practice, case studies from diverse industrial sectors such as automotive, aerospace, energy and process industries were analyzed, illustrating the tangible benefits that technology integration brings. Emerging research areas like edge AI, federated learning, blockchain-supported IoT security, explainable AI (XAI) and the development of industrial metaverse environments were also mentioned. These advancements point toward future directions for smarter and more secure manufacturing systems. The findings suggest that combining DT, IoT and ML significantly boosts productivity, efficiency, and decision-making in manufacturing.