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2009 | 19 | 1 | 59-68
Tytuł artykułu

Robust parameter design using the weighted metric method - The case of 'the smaller the better'

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Tom
19
Numer
1
Strony
59-68
Opis fizyczny
Daty
wydano
2009
otrzymano
2007-07-28
poprawiono
2008-04-22
Twórcy
  • Department of Civil Engineering, The Catholic University of America, Washington DC 20064, USA
  • Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
  • Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran
  • Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Bibliografia
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Typ dokumentu
Bibliografia
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Identyfikator YADDA
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