Apr 6, 2006 · When categorical noise variables are present in the Robust Parameter Design (RPD) context, it is possible to reduce process variance by not ...
When categorical noise variables are present, it is possible to reduce process variance by not only manipulating the levels of the control factors but also by ...
When categorical noise variables are present in the Robust Parameter Design (RPD) context, it is possible to reduce process variance by not only ...
The purpose of robust parameter design is to design a process or product that is robust to uncontrollable changes in the noise variables. In many applications ...
Apr 25, 2024 · Process Optimization via Robust Parameter Design when Categorical Noise Factors are Present. Qual. Reliab. Eng. Int. 22(3): 307-320 (2006).
Process Optimization via Robust Parameter Design when Categorical Noise Factors are Present. Resource URI: https://dblp.l3s.de/d2r/resource/publications ...
Therefore, to solve a robust parameter design problem, interaction between control and noise factors must exist.
Missing: via Categorical
Parameter design is an engineering methodology intended as a cost‐effective approach for improving the quality of products and processes.
Strategies for reducing variation. • Types of noise factors. • Variation reduction through robust parameter design. • Cross array, location-dispersion modeling, ...
Missing: via Categorical
Feb 16, 2018 · Traditionally, in process optimization, methods such as the dual response approach are used in the presence of noise factors, and methods such ...
Missing: Categorical Present.