Papers

1

Total Citations

5

H-Index

1

About

Meng An is a researcher advancing intelligent manufacturing in the textile and clothing industry, with a focus on production process optimization and industrial automation. Their most-cited work, "The Design of Intelligent production line for Clothing Industry" (2020), has garnered 5 citations and explores the integration of smart technologies—such as hardware deployment and management architecture—to modernize traditional clothing production. By analyzing production workflows and identifying key application scenarios, An’s research addresses critical challenges in upgrading existing manufacturing technologies, aiming to enhance efficiency and sustainability in the textile sector. This contribution supports the broader goal of transforming labor-intensive processes into data-driven, automated systems. An’s work is particularly notable for bridging the gap between theoretical frameworks and practical implementation, offering a blueprint for intelligent production lines that can be adapted across the industry. While still emerging, their research holds promise for influencing future innovations in smart manufacturing and industrial IoT, making it a valuable reference for students and researchers exploring the intersection of automation, textiles, and Industry 4.0.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
The Design of Intelligent production line for Clothing Industry
5 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Shenyang Institute of Computing Technology (China)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago