scholarly journals Bayesian Quadrature Optimization for Probability Threshold Robustness Measure

2021 ◽  
pp. 1-54
Author(s):  
Shogo Iwazaki ◽  
Yu Inatsu ◽  
Ichiro Takeuchi

Abstract In many product development problems, the performance of the product is governed by two types of parameters: design parameters and environmental parameters. While the former is fully controllable, the latter varies depending on the environment in which the product is used. The challenge of such a problem is to find the design parameter that maximizes the probability that the performance of the product will meet the desired requisite level given the variation of the environmental parameter. In this letter, we formulate this practical problem as active learning (AL) problems and propose efficient algorithms with theoretically guaranteed performance. Our basic idea is to use a gaussian process (GP) model as the surrogate model of the product development process and then to formulate our AL problems as Bayesian quadrature optimization problems for probabilistic threshold robustness (PTR) measure. We derive credible intervals for the PTR measure and propose AL algorithms for the optimization and level set estimation of the PTR measure. We clarify the theoretical properties of the proposed algorithms and demonstrate their efficiency in both synthetic and real-world product development problems.

2021 ◽  
Vol 11 (20) ◽  
pp. 9407
Author(s):  
Stefan Goetz ◽  
Martin Roth ◽  
Benjamin Schleich

The development of complex products with high quality in dynamic markets requires appropriate robust design and tolerancing workflows supporting the entire product development process. Despite the large number of methods and tools available for designers and tolerance engineers, there are hardly any consistent approaches that are applicable throughout all development stages. This is mainly due to the break between the primarily qualitative approaches for the concept stage and the quantitative parameter and tolerance design activities in subsequent stages. Motivated by this, this paper bridges the gap between these two different views by contrasting the used terminology and methods. Moreover, it studies the effects of early robust design decisions with a focus on Suh’s Axiomatic Design axioms on later parameter and tolerance optimization. Since most robust design activities in concept design can be ascribed to these axioms, this allows reliable statements about the specific benefits of early robust design decisions on the entire process considering variation in product development for the first time. The presented effects on the optimization of nominal design parameters and their tolerance values are shown by means of a case study based on ski bindings.


Author(s):  
Hong Jia ◽  
Christopher A. Mattson ◽  
Gabrielle Johnson

Abstract Besides the explicit economic and environmental impacts, the product development process also produces an implicit social value — known as social impact. To help product designers better understand and plan for the social impact that their product may have, we present a social impact checklist table. This checklist table was constructed after a simple study was conducted on the design and reuse of corrugated cardboard. The checklist table provides the designer the opportunity to more deeply consider eleven social impact categories, map those categories to key indicators, and ultimately design parameters that influence social impact. We introduce this checklist table at the early stages of the product development process, aiming to make the otherwise implicit notion of social impact more explicit and recognizable. The checklist table has the potential to make the social dimension of sustainability more accessible to design engineers; they can then better conceive of sustainable solutions and create products that generate positive social impact.


Author(s):  
Andrea CAPRA ◽  
Ana BERGER ◽  
Daniela SZABLUK ◽  
Manuela OLIVEIRA

An accurate understanding of users' needs is essential for the development of innovative products. This article presents an exploratory method of user centered research in the context of the design process of technological products, conceived from the demands of a large information technology company. The method is oriented - but not restricted - to the initial stages of the product development process, and uses low-resolution prototypes and simulations of interactions, allowing users to imagine themselves in a future context through fictitious environments and scenarios in the ambit of ideation. The method is effective in identifying the requirements of the experience related to the product’s usage and allows rapid iteration on existing assumptions and greater exploration of design concepts that emerge throughout the investigation.


Sign in / Sign up

Export Citation Format

Share Document