Industry 4.0 is regarded as the fourth industrial revolution that has been opening new trends of automation, system sciences and cyber-physical systems, aiming to create "smart factories” where cyber-physical systems monitor physical processes, decentralized controllers monitor and manage the systems, Internet of Things communicates and cooperates with humans in real time via the Internet of Things Services. Having following this world trend has emerged, techniques of intelligent manufacturing, industrial IoT, artificial intelligence, machine learning, deep learning, broad learning, computational intelligence, and intelligent control have been integrated into smart manufacturing/industry 4.0  systems  on a variety of scales to meet the needs of implementation at the angle of commercial or industrial products.  Smart manufacturing/industry 4.0 core technologies cover four main areas: intelligent manufacturing systems, quality guarantee, manufacturing optimization, and digital twin, each of which has its own special industry issues.  Several Smart Manufacturing/Industry 4.0 approaches integrated with numerous deep learning approaches, and many advanced neural networks and fuzzy methods have been shown to gain successful industrial applications, thereby bringing significant impacts on industrial innovations and breakthroughs.

In light of this emerging trend, it is timely important to propose a special workshop, called  smart manufacturing/industry 4.0  systems, in ICSSE 2020, in order to promote advanced theory, practices, applications and interdisciplinary aspects of smart manufacturing/industry 4.0  systems. The goal of this special session is  to disseminate high quality research results regarding not only the theoretic development in integration of smart manufacturing methods, intelligent devices, core software and intelligent control techniques for industry, but also their applications to real industrial systems. In addition, this session is also aimed to facilitate interactions among researchers and practitioners.

Topics of interest include but are not limited to: