Unreplicated factorial experimental designs for offline quality improvement and industrial process optimisation
by Hager Farhoud; Lotfi Taleb
International Journal of Computational Economics and Econometrics (IJCEE), Vol. 13, No. 2, 2023

Abstract: A problem frequently encountered in the industrial offline improvement of quality is to identify from among many factors, those which are responsible for large changes in the quality characteristics, namely factors with active location and/or dispersion effects. Unreplicated experimental designs propose economic tools to discover what manufacturing conditions minimise product variation, maintain product measurements near the desired target value and make the product insensitive to environmental changes. However, no degrees of freedom are left to estimate the experimental error. To remove this dependency structure of residuals at the high and low levels of factor combinations, this study first addresses a synthesis and a critical analysis of existing location and dispersion effect identification methods. Second, a new method is proposed, and robustness check is based on real example and extensive simulation study. Third, practical issues are presented to enlighten investigators in their decision-making process.

Online publication date: Tue, 04-Apr-2023

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 Computational Economics and Econometrics (IJCEE):
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