Structured Product Engineering: Ontology-based Advanced Product Quality Planning

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Authors: Uppili Srinivasan, Dominik Mittel, Daniel Lemberger, Alexander Perzylo
Cited by: 1
References: 11

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.

Fields of Study & Subjects

Product Development and Customization Design Education and Practice Manufacturing Process and Optimization

Publication details

Journal / source
Procedia CIRP
Publisher
Elsevier BV
Volume
138
Pages
1109–1114
Publication date
1 January 2026
Language
EN