Determining optimal targets for multi-characteristic product using fuzzy logic and Taguchi type loss function Online publication date: Sat, 14-Feb-2015
by Syed N. Mujahid, Salih O. Duffuaa
International Journal of Operational Research (IJOR), Vol. 10, No. 1, 2011
Abstract: This paper considers the targeting problem for products with multiple quality characteristics. Typically, these quality characteristics cannot be measured exactly, or related directly to the process input and/or process parameters. However, they can be estimated through an indirect relationship with the multiple observed process parameters. In practice, these relations can not be explicitly written in mathematical form. Therefore, in this paper a fuzzy relation between the observed parameters and required quality characteristics is proposed. In addition to that, a fuzzy-based process targeting model is developed, and the cost function is defined using unsymmetrical interval-based Taguchi (UIT) loss function. Also, an evolutionary algorithm is designed to solve the model and to obtain the optimal process targets. The utility of the proposed model and algorithm is illustrated by a realistic example form the literature.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Operational Research (IJOR):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook