Intelligent cyber-physical production systems driven by knowledge and data: contributions, limitations, and applications in the aerospace industry
摘要
The aerospace manufacturing industry is characterized by high product complexity, long life cycles, and frequent project changes that increase costs, lead times, and environmental impacts. Traditional manufacturing systems struggle to integrate heterogeneous automation technologies and manage highly customized production environments. This study aims to analyse the state of the art in Cyber-Physical Production Systems (CPPS), Reconfigurable Manufacturing Systems (RMS), and Semantic Interoperability (SI), and to propose a knowledge- and data-driven framework to support intelligent aerospace manufacturing.A systematic literature review combined with a bibliometric analysis was conducted to identify relevant approaches, technologies, and research gaps related to CPPS, RMS, and semantic interoperability in aerospace manufacturing. An in-depth content analysis of selected studies was then performed to synthesise their contributions and limitations, serving as the basis for the conceptual framework design.The study proposes the Knowledge and Data-Driven Intelligent Cyber-Physical Production System (KDD-iCPPS) framework. The framework enables semantic interoperability and seamless information exchange across design and manufacturing domains. It supports key manufacturing activities such as process planning, cost estimation, and quality assurance, while capturing both explicit and implicit domain knowledge through formal ontologies and data-driven mechanisms. The KDD-iCPPS framework addresses key limitations of conventional manufacturing systems by integrating knowledge-based and data-driven capabilities within a CPPS architecture. Future work will focus on industrial validation through experimental case studies and comparative assessments with existing practices to refine and extend the framework’s applicability in the aerospace sector.