Customized Production Through 3D Printing in Cloud Manufacturing

Table of Contents

1. Review of Customized Manufacturing
2. Introduction to Cloud Manufacturing
3. 3D Printing with Cloud Manufacturing
4. Framework of 3D Printing Cloud Service
5. 3D Printing Modeling Technology
6. 3D Printer Resource Access and Servitization Technology
7. Supply-demand Matching and Task Scheduling Technology
8. Service Capability Evaluation Technology
9. Cloud 3D Printing Monitoring Technology
10. 3D Printing Service Credibility Evaluation Technology
11. Application Examples of 3D Printing Cloud Service Platform
12. Conclusion and Future Works

Authors

Lin Zhang Professor, Computer and Systems Science, Beihang Unversity, China. Lin Zhang is Professor of Computer and Systems Science at Beihang Unversity. He received the B.S. degree in 1986 from the Department of Computer and System Science at Nankai University, China. He received the M.S. degree and the Ph.D. degree in 1989 and 1992 from the Department of Automation at Tsinghua University, China. He served as the director of CIMS Office, China National 863 Program, from 1997 to 2001. From 2002 to 2005 he worked at the US Naval Postgraduate School as a senior research associate of the US National Research Council. Currently, he serves as the immediately past President of the Society for Modeling & Simulation International (SCS), a Fellow of the Federation of Asian Simulation Societies (ASIASIM), the executive vice president of Chinese Association for System Simulation (CASS), an IEEE senior member, a chief scientist of the 863 key projects, and associate Editor-in-Chief and associate editor of 5 peer-reviewed international journals. He has authored and co-authored 160 papers, 5 books and chapters. His research interests include service oriented modeling and simulation, agent based control and simulation, cloud manufacturing, model engineering. Longfei Zhou Carl E. Ravin Advanced Imaging Laboratories (RAI Labs), Duke University. Longfei Zhou is currently a postdoc associate in the Carl E. Ravin Advanced Imaging Laboratories (RAI Labs) at Duke University. His research interests include cloud manufacturing, scheduling, modeling and simulation, and computer vision. Dr. Zhou received his Ph.D. degree in 2018 from Beihang University where he studied the dynamic scheduling problem in cloud manufacturing and proposed the simulation-based dynamic scheduling method to overcome uncertainties. In January 2019, Dr. Zhou joined MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) as a postdoc to study reinforcement learning-based scheduling and logistics scheduling problems. In October 2020, he joined Duke University as a postdoc to do machine learning-based medical imaging analysis. Luo Xiao Researcher, Department of Information and Communication Engineering, Beihang University, China. Xiao Luo is a researcher in the Dept of Information and Communication Engineering at Beihang University, China. His research interests are focused on cloud manufacturing.