Special Issue: Mathematical Problems in Advanced Manufacturing
Guest Editors
Prof. Jinjiang Wang
School of Safety and Ocean Engineering, China University of Petroleum, China
Email: jwang@cup.edu.cn
Dr. Zhaoyan Fan
School of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University, USA
Email: zhaoyan.fan@oregonstate.edu
Dr. Chenhui Shao
Department of Mechanical Science and Engineering, University of Illinois at Urbana, Champaign, USA
Email: chshao@illinois.edu
Dr. Xi (Vincent) Wang
Department of Production Engineering, KTH Royal Institute of Technology, Sweden
Email: wangxi@kth.se
Manuscript Topics
Recent advancement in Big Data Analytics, Cloud Computing, Internet of Things, Artificial Intelligence, etc. has introduced new features and capabilities to further enhance manufacturing systems and processes. While the features and capabilities may be application specific, their performance ultimately depends on the mathematics running in the background. This special issue intends to provide a focused collection of mathematical techniques, algorithms, models, as well as their effective implementation that has contributed to advancing the state-of-the-knowledge in manufacturing.
Topics of interest to this Special Issue include, but are not limited to:
• Big data analytics for intelligent monitoring, diagnostics, prognostics, and health management in manufacturing
• Artificial Intelligence for augmented intelligence in resource allocation and utilization of equipment, processes, and systems
• High performance computing for high-dimensional and high variety data analysis
• Digital Twin and its innovative integration for smart manufacturing systems
• Cloud- and Internet of Things-enabled secure and decentralized manufacturing data analysis
• Multi-sensor, multi-resolution, and multimodal data fusion in manufacturing
• Human-machine collaboration (HRC) for safe and efficient manufacturing
• Design, modeling, and control of resilient manufacturing systems
• Safety and security for smart and secured manufacturing systems
Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/
Paper Submission
All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 31 August 2020![](/style/web/images/loading-large.gif)