Multi-objective optimisation of a contingency logistics network through physical programming
by Mehmet Miman; Edward Pohl
International Journal of Collaborative Enterprise (IJCENT), Vol. 3, No. 1, 2012

Abstract: A typical contingency logistic network can be responsible for resourcing several missions at the same time with different goals for mission success for each. Furthermore, depending on the time and budget available at each node or region in the contingency network, a decision maker has a different level of cost and time tolerance for different missions. In this paper, physical programming is used in conjunction with a memetic algorithm to optimise the performance of a contingency logistics network. This study illustrates how a decision maker's preference on several criteria can be explicitly modelled and taken into account in a complex decision framework.

Online publication date: Fri, 10-Apr-2015

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 Collaborative Enterprise (IJCENT):
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