- Tytuł:
- Robust parameter design using the weighted metric method - The case of 'the smaller the better'
- Autorzy:
-
Ardakani, M. K.
Noorossana, R.
Niaki, S. T. A.
Lahijanian, H. - Powiązania:
- https://bibliotekanauki.pl/articles/907855.pdf
- Data publikacji:
- 2009
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
wnioskowanie decyzyjne
estymacja regresji
metodologia oceny powierzchni
metoda metryczna
multiobjective decision making
regression estimation
response surface methodology
robust parameter design
weighted metric method - Opis:
- In process robustness studies, it is desirable to minimize the influence of noise factors on the system and simultaneously determine the levels of controllable factors optimizing the overall response or outcome. In the cases when a random effects model is applicable and a fixed effects model is assumed instead, an increase in the variance of the coefficient vector should be expected. In this paper, the impacts of this assumption on the results of the experiment in the context of robust parameter design are investigated. Furthermore, two criteria are considered to determine the optimum settings for the control factors. In order to better understand the proposed method and to evaluate its performances, a numerical example for the case of 'the smaller the better' is included.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2009, 19, 1; 59-68
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł