The objective of robust design is to optimise the mean and minimize the variability that
results from uncertainty represented by noise factors. The various objective functions and …

Scale-based product platform design consists of platform configuration to decide which
variables are shared among which product variants, and selection of the optimal values for …

The ever-increasing demands for risk-free, resource-efficient and environment-friendly air
vehicles motivate the development of advanced design methodology. As a particularly …

Mathematical optimization plays an important role in engineering design, leading to greatly
improved performance. Deterministic optimization, however, may result in undesired choices …

Robust optimization aims at producing designs which are less sensitive to uncertainties.
Risk optimization looks for designs with optimal balance between performance and safety. In …

Robust design (RD) is a popular design methodology for minimizing the variability of product
performance, thereby, improving the quality of a product. Although RD principles have been …

This article aims at approximating the probability density function (PDF) of the optimal point
of an optimization process. The full characterization of the PDF of the optimum is expected to …

In the current, increasingly aggressive business environment, crucial decisions about
product design often involve significant uncertainty. Highlighting the competitive advantage …

Mathematical optimization plays an important role in engineering design, leading to greatly
improved performance. Deterministic optimization however, can lead to undesired choices …

针对不确定性对产品性能的影响, 以湿式多盘制动器设计为例, 利用响应面模型,
建立了设计变量和制动性能的关系. 根据不精确法, 采用整体偏好聚合函数, 将随机, 模糊 …