An approach to robust decision making under severe uncertainty in life cycle design
by Scott J. Duncan, Bert Bras, Christiaan J.J. Paredis
International Journal of Sustainable Design (IJSDES), Vol. 1, No. 1, 2008

Abstract: Information-Gap Decision Theory (IGDT), an approach to robust decision making under severe uncertainty, is newly considered in the context of environmental performance affected by life cycle uncertainty. An IGDT decision strategy favours the design(s) that can endure the most estimation error while still guaranteeing no worse than some 'good enough' critical level of performance. In this paper, a simple automotive oil filter design selection example with severe uncertainty is formulated and solved using an IGDT approach. Implications of IGDT to life cycle engineering design problems are discussed, as are potential limitations that could be encountered when solving more complex problems.

Online publication date: Wed, 06-Feb-2008

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 Sustainable Design (IJSDES):
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