Digital Transformation in the Chemical Industry: The Potential of Augmented Reality and Digital Twin DOI Creative Commons
Lorena Claudia de Souza Moreira, Carine M. Rebello, Érbet Almeida Costa

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(24), P. 11607 - 11607

Published: Dec. 12, 2024

In the era of Industry 4.0 and industrial digitization, augmented reality (AR) is a powerful technology with potential to revolutionize numerous sectors. However, despite proliferation supporting tools hardware demonstrated benefits in effectiveness, intuitiveness, ease use, practical implementation AR within chemical industries remains surprisingly limited. This indicates shortfall research development initiatives aimed at fully exploiting capabilities for applications. manuscript presents comprehensive review existing landscape industry, aiming shed light on this intriguing paradox. After providing an extensive overview current state we propose schematic guideline as systematic approach introducing into operations. The objective guide bridge gap between AR’s evident its actual application, fostering broader adoption innovative sector. Our work offers valuable insights roadmap stakeholders leverage transformative power activities.

Language: Английский

Surrogate-based flowsheet model maintenance for Digital Twins DOI Creative Commons
Balázs Palotai,

Gábor Kis,

János Abonyi

et al.

Digital Chemical Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 100228 - 100228

Published: March 1, 2025

Language: Английский

Citations

0
Real-time process safety and systems decision-making toward safe and smart chemical manufacturing DOI Creative Commons
Austin Braniff,

Sahithi Srijana Akundi,

Yuanxing Liu

et al.

Digital Chemical Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 100227 - 100227

Published: March 1, 2025

Language: Английский

Citations

0
Exploring Clustering Tools in Process Systems Engineering: Innovations, Applications, and Future Directions DOI
Francisco Javier López-Flores, Alma Yunuen Raya-Tapia, César Ramírez‐Márquez

et al.

Process Safety and Environmental Protection, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
A Risk-based Model for Human-Artificial Intelligence Conflict Resolution in Process Systems DOI Creative Commons
He Wen, Faisal Khan

Digital Chemical Engineering, Journal Year: 2024, Volume and Issue: 13, P. 100194 - 100194

Published: Oct. 12, 2024

Language: Английский

Citations

1
Digital Transformation in the Chemical Industry: The Potential of Augmented Reality and Digital Twin DOI Creative Commons
Lorena Claudia de Souza Moreira, Carine M. Rebello, Érbet Almeida Costa

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(24), P. 11607 - 11607

Published: Dec. 12, 2024

In the era of Industry 4.0 and industrial digitization, augmented reality (AR) is a powerful technology with potential to revolutionize numerous sectors. However, despite proliferation supporting tools hardware demonstrated benefits in effectiveness, intuitiveness, ease use, practical implementation AR within chemical industries remains surprisingly limited. This indicates shortfall research development initiatives aimed at fully exploiting capabilities for applications. manuscript presents comprehensive review existing landscape industry, aiming shed light on this intriguing paradox. After providing an extensive overview current state we propose schematic guideline as systematic approach introducing into operations. The objective guide bridge gap between AR’s evident its actual application, fostering broader adoption innovative sector. Our work offers valuable insights roadmap stakeholders leverage transformative power activities.

Language: Английский

Citations

0