Proposing a Heuristic Method for Solving Two-Stage Supply Chain with Two Objective Functions

In today's competitive world, customers want a faster response, higher reliability and greater flexibility in changing needs. These factors require manufacturers and service providers to find better ways to manage the flow of their organization, the progress and to maintain their survival. This paper investigated the problem of multi product multi-period in a two-level supply chain, including producers and distributors. Presented problem with the purpose of maximum profit of the whole chain and production quality has been modeled. As regards traditional optimization’s methods don’t provide possibility of considering more than one purpose easily in optimization, Instead, heuristic methods of usage tools of multi objective optimization provides easily with high quality also increase the speed of reaching to the optimization goal or near it. So a newmulti-objective optimization tool is presented based on differential evolution algorithm and optimal Pareto concepts for solving problems. The efficiency of this algorithm is demonstrated by comparing it’s numerical experiment results with those ofMODE algorithm and LINGO package. Computational results indicate that the proposed algorithm has better performance.