Details
| Original language | English |
|---|---|
| Publication status | Published - 2023 |
| Event | 34th Symposium Design for X, DFX 2023 - Dresden, Germany Duration: 14 Sept 2023 → 15 Sept 2023 |
Conference
| Conference | 34th Symposium Design for X, DFX 2023 |
|---|---|
| Country/Territory | Germany |
| City | Dresden |
| Period | 14 Sept 2023 → 15 Sept 2023 |
Abstract
One challenge in manufacturing-integrated product development is the accessibility of the required manufacturing knowledge. Here, ontologies offer the possibility to structure and formalize information in the form of a knowledge base in order to act as a generic interface to the manufacturing and design specific systems. This paper describes the development of a generic knowledge base called MARON (MAnufacturing Restriction ONtology) for the structured representation of manufacturing restrictions via formalized manufacturing capabilities. Using the example of an expert system for process element-oriented manufacturability analysis, it is shown how MARON contributes to automated decision support in the context of manufacturing-oriented design.
Keywords
- computer aided engineering, design for manufacturing, manufacturing knowledge, manufacturing resource, ontology
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Engineering(all)
- Industrial and Manufacturing Engineering
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2023. Paper presented at 34th Symposium Design for X, DFX 2023, Dresden, Germany.
Research output: Contribution to conference › Paper › Research › peer review
}
TY - CONF
T1 - Structuring and Provision of Manufacturing knowledge through the Manufacturing Resource Ontology
AU - Wawer, Max Leo
AU - Herrmann, Kevin
AU - Plappert, Stefan
AU - Wurst, Johanna
AU - Gembarski, Paul Christoph
AU - Lachmayer, Roland
N1 - Funding Information: The results of this publication have been developed within the framework of the Collaborative Research Center 1153 “Process Chain for the Manufacture of Hybrid High-Performance Components by Tailored Forming” within the subproject C02. The authors would like to thank the German Research Foundation (DFG) for financial and organizational support of the project (project number: 252662854).
PY - 2023
Y1 - 2023
N2 - One challenge in manufacturing-integrated product development is the accessibility of the required manufacturing knowledge. Here, ontologies offer the possibility to structure and formalize information in the form of a knowledge base in order to act as a generic interface to the manufacturing and design specific systems. This paper describes the development of a generic knowledge base called MARON (MAnufacturing Restriction ONtology) for the structured representation of manufacturing restrictions via formalized manufacturing capabilities. Using the example of an expert system for process element-oriented manufacturability analysis, it is shown how MARON contributes to automated decision support in the context of manufacturing-oriented design.
AB - One challenge in manufacturing-integrated product development is the accessibility of the required manufacturing knowledge. Here, ontologies offer the possibility to structure and formalize information in the form of a knowledge base in order to act as a generic interface to the manufacturing and design specific systems. This paper describes the development of a generic knowledge base called MARON (MAnufacturing Restriction ONtology) for the structured representation of manufacturing restrictions via formalized manufacturing capabilities. Using the example of an expert system for process element-oriented manufacturability analysis, it is shown how MARON contributes to automated decision support in the context of manufacturing-oriented design.
KW - computer aided engineering
KW - design for manufacturing
KW - manufacturing knowledge
KW - manufacturing resource
KW - ontology
UR - http://www.scopus.com/inward/record.url?scp=85185848441&partnerID=8YFLogxK
U2 - 10.35199/dfx2023.08
DO - 10.35199/dfx2023.08
M3 - Paper
AN - SCOPUS:85185848441
T2 - 34th Symposium Design for X, DFX 2023
Y2 - 14 September 2023 through 15 September 2023
ER -