The development of specifications-based S- and L-type robust designs
by Hsin-Li Chan; Byung Rae Cho
International Journal of Experimental Design and Process Optimisation (IJEDPO), Vol. 3, No. 4, 2013

Abstract: Chan and Cho (2013) studied the specifications-based robust design optimisation for a nominal-the-best type (N-type) quality characteristic under the normality assumption as an underlying distribution of the characteristic. In the real life engineering environment, however, various quality characteristics are of smaller-the-better (S-type) or larger-the-better (L-type) and their distributions are heavily skewed. As an extension of Chan and Cho (2013), this paper proposes specifications-based robust design (RD) models for S- and L-type quality characteristics, which are constrained by pre-specified upper and lower specification limits (USL and LSL), respectively. This paper demonstrates that the Weibull distribution is effective in modelling the S- and L-type characteristics, derives the truncated mean and variance from the Weibull parameters, and incorporates those truncated statistical moments into response surface-based RD models. Finally, numerical examples illustrate how the optimal factor settings are obtained from the proposed models.

Online publication date: Wed, 02-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Experimental Design and Process Optimisation (IJEDPO):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com