Authors: Mehmet Miman; Edward Pohl
Addresses: Toros University, Bahçelievler Kampüsü, 1857 Sokak, No: 12, Yenişehir 33140, Mersin, Turkey ' Department of Industrial Engineering, University of Arkansas, Fayetteville, AR 72701, USA
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.
Keywords: contingency logistics networks; network design; multi-objective optimisation; physical programming; contingency networks; memetics; decision making; modelling.
International Journal of Collaborative Enterprise, 2012 Vol.3 No.1, pp.1 - 17
Available online: 27 Feb 2013 *Full-text access for editors Access for subscribers Purchase this article Comment on this article