Yanchao Tan
Papers
1
Total Citations
6
H-Index
1
About
Dr. Yanchao Tan is at the forefront of integrating artificial intelligence with sustainable manufacturing, with a primary focus on advancing the circular economy through remanufacturing. Their seminal survey, "Unlocking the Potential of Remanufacturing Through Machine Learning and Data-Driven Models—A Survey" (2024), has already garnered 6 citations, establishing a foundational framework for how machine learning can optimize the recovery of end-of-use products to "like-new" condition. This work systematically maps how data-driven models can overcome traditional barriers in remanufacturing—from predicting core quality to optimizing disassembly sequences—offering industries a roadmap to reduce waste and energy consumption. Dr. Tan’s major contribution lies in bridging the gap between theoretical sustainability goals and practical, AI-enabled implementation, demonstrating how intelligent systems can make remanufacturing economically viable at scale. By synthesizing cutting-edge ML techniques with industrial needs, their research provides actionable insights for manufacturers seeking to close material loops. This pioneering work positions Dr. Tan as a key voice in the transition toward smarter, greener production systems, inspiring both academic researchers and industry practitioners to harness data for a more sustainable future.
Research Focus
Key Achievements
Top Papers
- 1