posted by organizer: leliocampanile || 1602 views || tracked by 4 users: [display]

DTMO 2024 : Digital Twins for modeling and optimization of manufacturing system operation

FacebookTwitterLinkedInGoogle

Link: https://www.mdpi.com/journal/machines/special_issues/49FKO72E5K
 
When N/A
Where N/A
Submission Deadline Jun 3, 2024
Notification Due Jun 30, 2024
Categories    digital twin   machine learning   modeling and simulation   IOT
 

Call For Papers

In recent years, Digital Twin (DT) technology has emerged as a transformative force, reshaping the landscape of manufacturing optimization across various industries. A DT is a virtual representation of a physical system, process, or product that enables real-time monitoring, analysis, and decision-making. This innovative technology has opened new horizons for predictive maintenance, Machine Learning (ML) and Deep Learning (DL) applications, modeling and simulation techniques, reference architectures, big data-driven strategies, and the integration of IoT and edge architectures in the smart manufacturing sector.
This special issue aims to explore the dynamic evolution of DT applications in manufacturing optimization, but not limited to. We seek to provide a comprehensive understanding of how DTs are revolutionizing industries such as healthcare, railways, aerospace, and beyond. Moreover, we will delve into the intricacies of ML and DL techniques, modeling and simulation advances, reference architectures for optimizing manufacturing processes, the role of big data in predictive maintenance, and the synergy between IoT and edge architectures in the era of Industry 4.0.
Contributions to this special issue will shed light on the latest breakthroughs and best practices, enabling researchers, engineers, and practitioners to harness the full potential of digital twins in revolutionizing the manufacturing domain. We encourage submissions that demonstrate innovative solutions and real-world case studies that showcase the transformative power of digital twins in manufacturing optimization.


Main Topics:
We invite researchers, experts, and practitioners to submit original research, review articles, and case studies that align with the following main topics within the scope of digital twin technology for manufacturing optimization:
• Digital Twins for Predictive Maintenance: Explore how digital twins are impacting predictive maintenance practices in industries, including healthcare, railways, aerospace, and more.
• Leveraging and Optimization Machine Learning and Deep Learning: Investigate the utilization of Machine Learning and Deep Learning algorithms to develop, enhance, and employ digital twins in manufacturing systems.
• Innovative Modeling and Simulation Techniques: Showcase innovative modeling and simulation techniques that support the development and application of digital twins in manufacturing.
• Reference Architectures for Manufacturing Optimization: Present best practices and reference architectures for optimizing manufacturing systems and processes using digital twins.
• Model-Driven and Data Driven Predictive Maintenance: Delve into the integration of data analytics into predictive maintenance strategies within digital twin-enabled manufacturing processes.
• IoT and Edge Architectures in Digital Twin Optimization: Explore the integration and effectiveness of IoT and edge architectures in harnessing the power of digital twins for manufacturing optimization.
• Case study for design optimization using the DT approach: Investigate DT applications in smart manufacturing sector.

Related Resources

ASQAP 2025   First International Workshop on Autonomous System Quality Assurance and Prediction with Digital Twins
Ei/Scopus-ACAI 2024   2024 7th International Conference on Algorithms, Computing and Artificial Intelligence(ACAI 2024)
IEEE Pervasive Computing 2025   Special Issue on Defining A New Cross Reality: Digital Twins and Mixed Reality Worlds
SPIE-Ei/Scopus-DMNLP 2025   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus
DIGITA 2025   Digital Twins Ecosystems and Applications - PerCom Workshop
CEU 2025   8th International Conference on Civil Engineering and Urban Planning
CoMSO 2024   International Conference on Modeling, Simulation and Optimization
BIBC 2024   5th International Conference on Big Data, IOT and Blockchain
BDMO 2024   2024 3rd International Conference on Big Data Modeling and Optimization (BDMO 2024)