%0 Journal Article
%T Bi-objective supply chain problem using MOPSO and NSGA-II
%A Hassan Javanshir
%A Sadoullah Ebrahimnejad
%A Samaneh Nouri
%J International Journal of Industrial Engineering Computations
%D 2012
%I Growing Science
%X The increase competition and decline economy has increased the relevant importance of having reliable supply chain. The primary objective of many supply chain problems is to reduce the cost of services and, at the same time, to increase the quality of services. In this paper, we present a multi-level supply chain network by considering multi products, single resource and deterministic cost and demand. The proposed model of this paper is formulated as a mixed integer programming and we present two metaheuristics namely MOPSO and NSGA-II to solve the resulted problems. The performance of the proposed models of this paper has been examined using some randomly generated numbers and the results are discussed. The preliminary results indicate that while MOPSO is able to generate more Pareto solutions in relatively less amount of time, NSGA-II is capable of providing better quality results.
%K Supply Chain
%K Bi-objective optimization
%K MOPSO
%K NSGA-II
%K Supply chain network design responsiveness
%U http://www.growingscience.com/ijiec/Vol3/IJIEC_2012_28.pdf