Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 2591-2600 |
| Seitenumfang | 10 |
| Fachzeitschrift | Proceedings of the Design Society |
| Jahrgang | 1 |
| Publikationsstatus | Veröffentlicht - 27 Juli 2021 |
| Veranstaltung | 23rd International Conference on Engineering Design, ICED 2021 - Gothenburg, Schweden Dauer: 16 Aug. 2021 → 20 Aug. 2021 |
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.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computergrafik und computergestütztes Design
- Informatik (insg.)
- Angewandte Informatik
- Informatik (insg.)
- Software
- Mathematik (insg.)
- Modellierung und Simulation
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in: Proceedings of the Design Society, Jahrgang 1, 27.07.2021, S. 2591-2600.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Robust multi-objective optimization in product development with respect to user-scenario and manufacturing uncertainties
AU - Wolniak, Philipp
AU - Cramer, Jakob
AU - Lachmayer, Roland
PY - 2021/7/27
Y1 - 2021/7/27
N2 - 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.
AB - 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.
KW - Computational design methods
KW - Multi-objective optimization
KW - Robust design
KW - Uncertainty
KW - User-scenario
UR - http://www.scopus.com/inward/record.url?scp=85117854254&partnerID=8YFLogxK
U2 - 10.1017/pds.2021.520
DO - 10.1017/pds.2021.520
M3 - Conference article
AN - SCOPUS:85117854254
VL - 1
SP - 2591
EP - 2600
JO - Proceedings of the Design Society
JF - Proceedings of the Design Society
T2 - 23rd International Conference on Engineering Design, ICED 2021
Y2 - 16 August 2021 through 20 August 2021
ER -