Structured Product Engineering: Ontology-based Advanced Product Quality Planning

Uppili Srinivasan, Dominik Mittel, Daniel Lemberger and Alexander Perzylo

CIRP Conference on Intelligent Computation in Manufacturing Engineering (ICME),

July 2024 · Gulf of Naples, Italy

abstract

Increasingly complex products make it difficult to efficiently meet customer requirements and underline the need for structured product engineering. Ontologies enable the combination of heterogeneous data sources and linking of existing knowledge to automatically derive further insights. In this work, an ontology-based approach for a structured product engineering process is introduced. We develop an ontology for Advanced Product Quality Planning (APQP)-guided product development and combine it with semantic models regarding production knowledge, ontology-based geometric representations, and a graphical user interface. As a result, an assistance system that provides support from customer inquiry to product design is developed.

subject terms: peng, diprolea