Leveraging digital twin into dynamic production scheduling: A review

N Ouahabi, A Chebak, O Kamach, O Laayati… - Robotics and Computer …, 2024 - Elsevier
The digital twin is an emerging technology that enhances industrial digitalization, as it
establishes a dynamic virtual model that emulates a specific phenomenon of the …

A systematic literature review of digital twin research for healthcare systems: Research trends, gaps, and realization challenges

MD Xames, TG Topcu - IEEE Access, 2024 - ieeexplore.ieee.org
Using the PRISMA approach, we present the first systematic literature review of digital twin
(DT) research in healthcare systems (HSs). This endeavor stems from the pressing need for …

[HTML][HTML] A study on ChatGPT for Industry 4.0: Background, potentials, challenges, and eventualities

M Javaid, A Haleem, RP Singh - Journal of Economy and Technology, 2023 - Elsevier
Abstract ChatGPT is an Artificial Intelligence (AI)-powered Natural Language Processing
(NLP) tool that comprehends and produces text in response to given commands. It can be …

Hybrid learning-based digital twin for manufacturing process: Modeling framework and implementation

Z Huang, M Fey, C Liu, E Beysel, X Xu… - Robotics and Computer …, 2023 - Elsevier
Digital twin (DT) and artificial intelligence (AI) technologies are powerful enablers for
Industry 4.0 toward sustainable resilient manufacturing. Digital twins of machine tools and …

Manufacturing in the age of human-centric and sustainable industry 5.0: application to holonic, flexible, reconfigurable and smart manufacturing systems

C Turner, J Oyekan - Sustainability, 2023 - mdpi.com
This paper provides a classification of manufacturing types in terms of new technological
tools provided in the Industry 5.0 framework. The manufacturing types agile, holonic, flexible …

[HTML][HTML] PLC orchestration automation to enhance human–machine integration in adaptive manufacturing systems

F Mo, MU Querejeta, J Hellewell, HU Rehman… - Journal of Manufacturing …, 2023 - Elsevier
Current approaches to manufacturing must evolve to respond to increasing demands for
short product life cycles and customised products. Adaptive manufacturing systems integrate …

[HTML][HTML] Digital Twin Learning Ecosystem: A cyber–physical framework to integrate human-machine knowledge in traditional manufacturing

Á García, A Bregon, MA Martínez-Prieto - Internet of things, 2024 - Elsevier
Abstract As Industry 4.0 enablers, digital twins of manufacturing systems have led to multiple
interaction levels among processes, systems, and workers across the factory. However …

Resilient digital twin modeling: A transferable approach

J Song, S Liu, T Ma, Y Sun, F Tao, J Bao - Advanced Engineering …, 2023 - Elsevier
High-fidelity digital twin models include not only concrete geometric models but also intrinsic
models such as mechanism models and data models, which require high information …

Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part I): Design thinking and modeling methods

J Leng, J Guo, J **e, X Zhou, A Liu, X Gu… - Journal of Manufacturing …, 2024 - Elsevier
The concurrent societal goals and environmental challenges force industries to become
more human-centric, sustainable, and resilient, which is envisioned as a value-oriented …

[HTML][HTML] Real-time quality prediction and local adjustment of friction with digital twin in sheet metal forming

P Link, L Penter, U Rückert, L Klingel, A Verl… - Robotics and Computer …, 2025 - Elsevier
In sheet metal forming, the quality of a formed part is strongly influenced by the local
lubrication conditions on the blank. Fluctuations in lubrication distribution can cause failures …