Details
| Original language | English |
|---|---|
| Pages (from-to) | 2591-2600 |
| Number of pages | 10 |
| Journal | Proceedings of the Design Society |
| Volume | 1 |
| Publication status | Published - 27 Jul 2021 |
| Event | 23rd International Conference on Engineering Design, ICED 2021 - Gothenburg, Sweden Duration: 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.
Keywords
- Computational design methods, Multi-objective optimization, Robust design, Uncertainty, User-scenario
ASJC Scopus subject areas
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Software
- Mathematics(all)
- Modelling and Simulation
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Proceedings of the Design Society, Vol. 1, 27.07.2021, p. 2591-2600.
Research output: Contribution to journal › Conference article › Research › 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 -