SS01- Emerging Technologies-driven Cloud Manufacturing

Special Session Organized by

Yongkui Liu, Xidian University, China; Lin Zhang, Beihang University, China; Lihui Wang, KTH Royal Institute of Technology, Sweden; Xun Xu, The University of Auckland, New Zealand; Lei Ren, Beihang University, China;

Nowadays, emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), 5G, blockchain, robotics, edge computing, big data, and digital twin are undergoing rapid development, and have potentials to drive the further development of cloud manufacturing. Driven by and fusion with these emerging technologies, cloud manufacturing would evolve into a huge, intelligent manufacturing system characterized by open architecture, intelligent services, intelligent data analysis and knowledge mining, intelligent operations, precise edge control, and product lifecycle intelligent applications, etc. How to effectively incorporate these emerging technologies into and achieve seamless integration with cloud manufacturing is an important and challenging problem worthy of study. Therefore, this Special Session focuses on emerging technologies-driven cloud manufacturing to explore new development opportunities with emerging technologies and push forward its further development.

Topics of interest include, but are not limited to

Blockchain-based open architecture and security mechanisms; intelligent big data analysis; digital twins; intelligent manufacturing services; intelligent service search, matching, composition, and scheduling; cloud-based resource/capability sharing; Intelligent machines and robots; edge computing and edge manufacturing; mobile Internet-based applications; intelligent knowledge mining; deep learning and deep reinforcement learning for manufacturing; cloud-based cyber-physical production systems; cloud-based 3D printing, virtual reality (VR)/Augmented reality (AR); 5G.

Submissions Procedure

All the instructions for paper submission are included in the conference website indin2020.com.

Deadlines

Download Call for Papers

Click here to download this special session call for papers