Generating additional Engineering Knowledge in Smart Product Value Creation Networks

Collaboration processes to enable model-based engineering of smart industrial product systems require the integration of heterogeneous engineering domains in different companies of dynamic value creation networks. To improve and accelerate engineering processes, a collaborative and compliant use of existing and developed system knowledge is crucial. This can be ensured by using a hybrid AI approach that reuses explicit design knowledge and Deep Learning-generated insights. The approach aims to map and cluster product- and process-related engineering knowledge by creating and linking heterogeneous engineering ontologies utilizing different nomenclatures. The engineering of the innovative function wireless charging point for mobile phones illustrates the approach.

Authors

Institutions

Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.08.108
Primary Topic
Product Development and Customization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generating additional Engineering Knowledge in Smart Product Value Creation Networks

Andreas Emrich, Damun Mollahassani, Peter Fettke, Jens C. Göbel et al.
Procedia CIRP
Product Development and Customization
article

Generating additional Engineering Knowledge in Smart Product Value Creation Networks

Andreas Emrich, Damun Mollahassani, Peter Fettke, Jens C. Göbel, M. Becker
article en

Abstract

Collaboration processes to enable model-based engineering of smart industrial product systems require the integration of heterogeneous engineering domains in different companies of dynamic value creation networks. To improve and accelerate engineering processes, a collaborative and compliant use of existing and developed system knowledge is crucial. This can be ensured by using a hybrid AI approach that reuses explicit design knowledge and Deep Learning-generated insights. The approach aims to map and cluster product- and process-related engineering knowledge by creating and linking heterogeneous engineering ontologies utilizing different nomenclatures. The engineering of the innovative function wireless charging point for mobile phones illustrates the approach.

Procedia CIRPVol. 136
University of Kaiserslautern (DE), German Research Centre for Artificial Intelligence (DE)
Openalex Percentile: Top 69%
Product Development and Customization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Generating additional Engineering Knowledge in Smart Product Value Creation Networks — Andreas Emrich, Damun Mollahassani, et al. · Procedia CIRP (2025) | TGRS Research Map | TGRS