dc.identifier.uri |
http://dx.doi.org/10.15488/16762 |
|
dc.identifier.uri |
https://www.repo.uni-hannover.de/handle/123456789/16889 |
|
dc.contributor.author |
Wolniak, Philipp
|
|
dc.contributor.author |
Cramer, Jakob
|
|
dc.contributor.author |
Lachmayer, Roland
|
|
dc.date.accessioned |
2024-03-25T08:03:49Z |
|
dc.date.available |
2024-03-25T08:03:49Z |
|
dc.date.issued |
2021 |
|
dc.identifier.citation |
Wolniak, P.; Cramer, J.; Lachmayer, R.: Robust multi-objective optimization in product development with respect to user-scenario and manufacturing uncertainties. In: Proceedings of the Design Society 1 (2021), S. 2591-2600. DOI: https://doi.org/10.1017/pds.2021.520 |
|
dc.description.abstract |
In product development, user-scenarios are a way of tailoring requirements to defined customer groups. Furthermore, a product design often involves multiple conflicting objectives that are analyzed within an iterative process. The models typically used for the analysis often do not accurately reflect the real-world representation. This can be alleviated by finding robust product designs. While usually uncertainties due to manufacturing tolerances are investigated, we additionally consider uncertainties in the user-scenario. Therefore, we present a robustness evaluation in a multi-objective numerical optimization in product development. For this, we consider manufacturing tolerances using an adjusted Latin Hypercube Sampling as well as deviations in the user-scenario by means of a Gaussian distribution. In the case study, we present the robust development of a customer specific coffee machine, where we show the robustness evaluation and the impact of the proposed adjustments. The advantage of the presented process is a product design tailored to the customer's requirements under specified uncertainties. In addition, this enables a time benefit in the product development due to the automated analysis used in the optimization. |
eng |
dc.language.iso |
eng |
|
dc.publisher |
Cambridge : Cambridge University Press |
|
dc.relation.ispartofseries |
Proceedings of the Design Society 1 (2021) |
|
dc.rights |
CC BY-NC-ND 4.0 Unported |
|
dc.rights.uri |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
|
dc.subject |
Computational design methods |
eng |
dc.subject |
Multi-objective optimization |
eng |
dc.subject |
Robust design |
eng |
dc.subject |
Uncertainty |
eng |
dc.subject |
User-scenario |
eng |
dc.subject.classification |
Konferenzschrift |
ger |
dc.subject.ddc |
620 | Ingenieurwissenschaften und Maschinenbau
|
|
dc.title |
Robust multi-objective optimization in product development with respect to user-scenario and manufacturing uncertainties |
eng |
dc.type |
Article |
|
dc.type |
Text |
|
dc.relation.essn |
2732-527X |
|
dc.relation.doi |
https://doi.org/10.1017/pds.2021.520 |
|
dc.bibliographicCitation.volume |
1 |
|
dc.bibliographicCitation.firstPage |
2591 |
|
dc.bibliographicCitation.lastPage |
2600 |
|
dc.description.version |
publishedVersion |
eng |
tib.accessRights |
frei zug�nglich |
|