Knowledge graph-based manufacturing process planning: A state-of-the-art review

Abstract

Computer-aided process planning is the bridge between computer-aided design and computer-aided manufacturing. With the advent of the intelligent manufacturing era, process knowledge is important for process planning. Knowledge graph is a semantic representation method of knowledge that has attracted extensive attention from the industry and academia. Process planning using the process knowledge graph has become an important development direction for computer-aided process planning. From the analysis of the published reviews, there have been many computer-aided process planning reviews with different focuses. We focus on the techniques and applications of knowledge graph in manufacturing process planning. Therefore, this paper comprehensively reviews knowledge graphs in manufacturing process planning. We analyze the key technologies of process knowledge graph, including process knowledge representation, process knowledge extraction, process knowledge graph construction, process knowledge graph refinement, process knowledge graph validation, and process generation. We also explore the combination of process knowledge graphs and large language models. Finally, potential future research directions are proposed.