Special Session III:  “Data-driven Sustainability and Optimization of Process Industries”

Organized by:
Yiqi Liu, South China University of Technology, China
Shuiqing Xu, Hefei University of Technology, China
Hongtian Chen, Shanghai Jiao Tong University, China

Introduction:
As an upgrade to process industries, Industry 4.0 proposed next-generation intelligent innovations to achieve better quality, lower cost and higher flexibility, then supporting the sustainability of process systems. A large number of innovations have come to practical applications, such as big data, edge computing, digital twin, resilience and so on.
The purpose of this Special Section is to provide a unique opportunity for researchers to refine effective technologies, such as modeling, diagnosis, control and optimization, to work together with innovations, such as big data, edge computing digital twin, resilience, and then promoting the decision-making and optimizations of process industries.
We invite the authors to submit original research articles in process systems obtained from modeling, diagnosis, control and optimization interplaying with big data, edge computing digital twin, resilience, where these innovations have found successful applications.

Submission:
Please submit your manuscript via Online Submission System and choose Special Session III: “Data-driven Sustainability and Optimization of Process Industries”.