Smart manufacturing (SM) confronts several challenges inherently suited to knowledge
graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied …

The proposed approach in the paper is dedicated to enrichment of CAD models storage in
PLM (Product Lifecycle Management) systems or archive databases. The paper considers …

Abstract Data-driven design (D 3), a new design paradigm benefited from advanced data
analytics and computational intelligence, has gradually promoted the research of data …

Digital twin is an enabling technology of smart manufacturing. The core of the manufacturing
is the shop floor, where the digital twin shop floor (DTS) is applied to facilitate its …

Compared with ordinary mass-produced apparel products, custom apparel products will
generate more data at each stage of their life cycle. Such data is in a highly dynamic state …

We review the scholarly contributions that utilise natural language processing (NLP)
techniques to support the design process. Using a heuristic approach, we gathered 223 …

Hazard and operability analysis (HAZOP) is a remarkable representative in industrial safety
engineering. However, a great storehouse of industrial safety knowledge (ISK) in HAZOP …

Process knowledge base is a core component in the intelligent process, which determines
the intelligent degree of product manufacturing and directly affects the production efficiency …

Isolated data silos and domain-specific knowledge pose challenges for knowledge graph
construction in the manufacturing industry, where heterogeneous storage leads to …

Among the incoming challenges in monitoring systems, the aggregation, synthesis and
management of knowledge through ontological structures hold an essential place. Existing …