An ontology-based semantic integration approach for dynamic scheduling in cyber-physical production system

The Cyber-Physical Production System (CPPS) integrates information technology with physical manufacturing processes to enhance production control flexibility. However, the prevalent issue in manufacturing systems is the heterogeneity of data from multiple sources. CPPS fails to acquire comprehensive information from the current manufacturing system, making it difficult to promptly formulate accurate production schedules. In response to this challenge, the article presents an ontology-based semantic integration and dynamic scheduling framework, achieving semantic interoperability within CPPS. This framework proposes methodologies for constructing ontology models, data models, and rule models of workshop scheduling, thereby providing semantic context, data integration guidance, and scheduling rule description for CPPS construction. Sequentially, under the guidance of the data model, a real-time data integration platform is established to achieve semantic data integration of data in industrial software, which is the key to supporting the dynamic scheduling of CPPS. Finally, employing a subassembly construction workshop as an illustrative case, a CPPS prototype is constructed to verify the efficacy of the proposed methodology.