Machine learning and deep learning based predictive quality in manufacturing: a systematic review
With the ongoing digitization of the manufacturing industry and the ability to bring together
data from manufacturing processes and quality measurements, there is enormous potential …
data from manufacturing processes and quality measurements, there is enormous potential …
Machine learning and data mining in manufacturing
A Dogan, D Birant - Expert Systems with Applications, 2021 - Elsevier
Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …
A survey on digital twin for industrial internet of things: Applications, technologies and tools
Digital twin for the industrial Internet of Things (DT-IIoT) creates a high-fidelity, fine-grained,
low-cost digital replica of the cyber-physical integrated Internet for industry. Powered by …
low-cost digital replica of the cyber-physical integrated Internet for industry. Powered by …
Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook
The advent of the Industry 4.0 initiative has made it so that manufacturing environments are
becoming more and more dynamic, connected but also inherently more complex, with …
becoming more and more dynamic, connected but also inherently more complex, with …
A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives
With the rapid advancement of cyber-physical systems, Digital Twin (DT) is gaining ever-
increasing attention owing to its great capabilities to realize Industry 4.0. Enterprises from …
increasing attention owing to its great capabilities to realize Industry 4.0. Enterprises from …
Smart production planning and control in the Industry 4.0 context: A systematic literature review
Scholars and practitioners have considered Industry 4.0 a comprehensive set of emerging
technologies that establish a new industrial perspective based on the “Internet of Things”. As …
technologies that establish a new industrial perspective based on the “Internet of Things”. As …
Intelligent manufacturing execution systems: A systematic review
The fast-growing demand for effective Industry 4.0-ready systems from academics and
practitioners has required an assessment of the state-of-the-art research and …
practitioners has required an assessment of the state-of-the-art research and …
Manufacturing big data ecosystem: A systematic literature review
Advanced manufacturing is one of the core national strategies in the US (AMP), Germany
(Industry 4.0) and China (Made-in China 2025). The emergence of the concept of Cyber …
(Industry 4.0) and China (Made-in China 2025). The emergence of the concept of Cyber …
Performance analysis of IoT-based sensor, big data processing, and machine learning model for real-time monitoring system in automotive manufacturing
With the increase in the amount of data captured during the manufacturing process,
monitoring systems are becoming important factors in decision making for management …
monitoring systems are becoming important factors in decision making for management …
Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …