A distance function approach to multi-response optimisation in determining optimal factor setting
by Subrata Mondal; Prasun Das
International Journal of Productivity and Quality Management (IJPQM), Vol. 10, No. 4, 2012

Abstract: In multi-response optimisation problems the objective is to determine the optimal settings of factors (or process variables) which will simultaneously optimise several responses. But most of the methods those are already developed determine the optimal alternative, not the optimal factor setting. Also, they are quite dependent on the response type. This paper addresses a new method to find the best alternative using the concept of heterogeneous distance function. Moreover, this method provides a way to determine the optimal factor setting for the true alternative without neglecting the potential interactions among the factors. The new method is robust, easy to understand and requires less information. Two real-life problems have been solved using the proposed method. Performance of the proposed method is compared with existing methods and with experimental data.

Online publication date: Fri, 31-Oct-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 Productivity and Quality Management (IJPQM):
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