Performance-driven closed-loop optimization and control for smart manufacturing processes in the cloud-edge-device collaborative architecture: A review and new perspectives

With the transformation and upgrading of the manufacturing industry, manufacturing systems have become increasingly complex in terms of the structural functionality, process flows, control systems, and performance assessment criteria. Digital representation, performance-related process monitoring, process regulation and control, and comprehensive performance optimization have been viewed as the core competence for future growth. Relevant topics have attracted significant attention and long-term exploration in both the academic and industrial communities. In this paper, focusing on the latest achievements in the context of smart manufacturing, a new performance-driven closed-loop process optimization and control framework with the cloud-edge-device collaboration is proposed. Firstly, in order to fully report the performance optimization and control technologies in manufacturing systems, a comprehensive review of associated topics, including digital representation and information fusion, performance-related process monitoring, dynamic scheduling, and closed-loop control and optimization are provided. Secondly, potential architectures integrating such technologies in manufacturing processes are investigated, and several existing research gaps are summarized. Thirdly, aiming at the hierarchical performance target, we present a roadmap to the cloud-edge-device collaborative closed-loop performance optimization and control for smart manufacturing. The overall architecture, development and deployment, and key technologies are discussed and explored with an actual industrial process scenario. Finally, the challenges and future research focuses are introduced. Through this work, it is hoped to provide new perspectives for the comprehensive performance optimization and control in the transition from Industry 4.0–5.0.