Chunrong Pan

Jiangxi University of Science and Technology

Papers

6

Total Citations

238

H-Index

5

About

Chunrong Pan is a prominent researcher specializing in semiconductor manufacturing automation, with a particular focus on the scheduling and optimization of cluster tools — the robotic systems central to modern wafer fabrication. His work addresses some of the most complex challenges in integrated circuit manufacturing, including the development of efficient scheduling algorithms for both single-arm and dual-arm cluster tools operating under stringent residency time constraints. Pan's most influential contribution, a 2017 comprehensive review of cluster tool scheduling methods (123 citations), established a foundational reference for the field, synthesizing advances in modeling techniques including Petri net frameworks and tackling both nonrevisiting and revisiting processes. His subsequent research pushed further into practical manufacturing realities, exploring multi-wafer-type scheduling (51 citations) and innovative robot idle time regulation strategies to minimize wafer delay (48 citations) — work that directly addresses the industry's shift toward small-batch, highly customized production. More recently, Pan has expanded into purge operation scheduling and automatic optical inspection systems, reflecting a broad command of semiconductor manufacturing challenges. With a growing citation record and consistently applied research across theoretical modeling and real-world fabrication systems, Pan has emerged as a significant contributor to intelligent manufacturing and industrial automation.

Research Focus

Key Achievements

5
H-Index
6
Papers
238
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
Scheduling Cluster Tools in Semiconductor Manufacturing: Recent Advances and Challenges
123 citations · 2017
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Jiangxi University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago