Model and Knowledge Representation for the Reuse of Design Process Knowledge Supporting Design Automation in Mass Customization

Mass customization aims to meet individual requirements and, therefore, is one way to attract and retain customers—a key challenge in the design industry. The increase in design automation has offered new opportunities to design customized products at high speed in a way that is cost equivalent to m...

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Autores principales:	Fabian Dworschak, Patricia Kügler, Benjamin Schleich, Sandro Wartzack
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	knowledge reuse knowledge representation ontology design automation mass customization Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/453632acb4754ec295936dc57d760a5a
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spelling	oai:doaj.org-article:453632acb4754ec295936dc57d760a5a2021-11-11T14:58:12ZModel and Knowledge Representation for the Reuse of Design Process Knowledge Supporting Design Automation in Mass Customization10.3390/app112198252076-3417https://doaj.org/article/453632acb4754ec295936dc57d760a5a2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9825https://doaj.org/toc/2076-3417Mass customization aims to meet individual requirements and, therefore, is one way to attract and retain customers—a key challenge in the design industry. The increase in design automation has offered new opportunities to design customized products at high speed in a way that is cost equivalent to mass production. Design automation is built upon the reuse of product and process knowledge. Ontologies have proven to be a feasible, highly aggregated knowledge representation in engineering design. While product and process knowledge from other lifecycle phases are represented in multiple approaches, the design process of the product as well as the adaption process of product variants is missing, causing breakpoints or additional iterations in design automation. Therefore, suitable knowledge representation tailored to design automation is still missing. Accordingly, this contribution proposes a novel knowledge representation approach to enable design automation for mass customization. Methodically, this novel approach uses semantic enrichment of CAD environments to automatically deduce information about a design task, design rationale, and design process represented by a formal ontology. The integration of the design process significantly differentiates the approach from previous ones. The feasibility of the approach is demonstrated by a bike crank customization process.Fabian DworschakPatricia KüglerBenjamin SchleichSandro WartzackMDPI AGarticleknowledge reuseknowledge representationontologydesign automationmass customizationTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9825, p 9825 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	knowledge reuse knowledge representation ontology design automation mass customization Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	knowledge reuse knowledge representation ontology design automation mass customization Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Fabian Dworschak Patricia Kügler Benjamin Schleich Sandro Wartzack Model and Knowledge Representation for the Reuse of Design Process Knowledge Supporting Design Automation in Mass Customization
description	Mass customization aims to meet individual requirements and, therefore, is one way to attract and retain customers—a key challenge in the design industry. The increase in design automation has offered new opportunities to design customized products at high speed in a way that is cost equivalent to mass production. Design automation is built upon the reuse of product and process knowledge. Ontologies have proven to be a feasible, highly aggregated knowledge representation in engineering design. While product and process knowledge from other lifecycle phases are represented in multiple approaches, the design process of the product as well as the adaption process of product variants is missing, causing breakpoints or additional iterations in design automation. Therefore, suitable knowledge representation tailored to design automation is still missing. Accordingly, this contribution proposes a novel knowledge representation approach to enable design automation for mass customization. Methodically, this novel approach uses semantic enrichment of CAD environments to automatically deduce information about a design task, design rationale, and design process represented by a formal ontology. The integration of the design process significantly differentiates the approach from previous ones. The feasibility of the approach is demonstrated by a bike crank customization process.
format	article
author	Fabian Dworschak Patricia Kügler Benjamin Schleich Sandro Wartzack
author_facet	Fabian Dworschak Patricia Kügler Benjamin Schleich Sandro Wartzack
author_sort	Fabian Dworschak
title	Model and Knowledge Representation for the Reuse of Design Process Knowledge Supporting Design Automation in Mass Customization
title_short	Model and Knowledge Representation for the Reuse of Design Process Knowledge Supporting Design Automation in Mass Customization
title_full	Model and Knowledge Representation for the Reuse of Design Process Knowledge Supporting Design Automation in Mass Customization
title_fullStr	Model and Knowledge Representation for the Reuse of Design Process Knowledge Supporting Design Automation in Mass Customization
title_full_unstemmed	Model and Knowledge Representation for the Reuse of Design Process Knowledge Supporting Design Automation in Mass Customization
title_sort	model and knowledge representation for the reuse of design process knowledge supporting design automation in mass customization
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/453632acb4754ec295936dc57d760a5a
work_keys_str_mv	AT fabiandworschak modelandknowledgerepresentationforthereuseofdesignprocessknowledgesupportingdesignautomationinmasscustomization AT patriciakugler modelandknowledgerepresentationforthereuseofdesignprocessknowledgesupportingdesignautomationinmasscustomization AT benjaminschleich modelandknowledgerepresentationforthereuseofdesignprocessknowledgesupportingdesignautomationinmasscustomization AT sandrowartzack modelandknowledgerepresentationforthereuseofdesignprocessknowledgesupportingdesignautomationinmasscustomization
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Model and Knowledge Representation for the Reuse of Design Process Knowledge Supporting Design Automation in Mass Customization

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