Bi-objective supply chain problem using MOPSO and NSGA-II ,
Hassan Javanshir, Sadoullah Ebrahimnejad, Samaneh Nouri · International Journal of Industrial Engineering Computations · 2012
The increase competition and decline economy has increased the relevant importance of having responsiveness supply chain.This has created much motivations to reduce the cost of services and, at the same time, to increase the quality of services.In this paper, we present a multi-stage supply chain network by considering multi products, single resource and deterministic cost and demand.There are two objectives of minimizing total cost and maximizing total responsiveness, which is the minimization of total numbers of delayed products and services.The proposed model of this paper is formulated as a mixed integer linear 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.