multi-objective optimization

The competitive environment of today has focused the attention of organizations on meeting the requirements of quality and social responsibility. Because organizations that adhere to the quality management framework achieve a higher level of customer satisfaction. To consider the convergence between sustainability and reliability, an economic, responsible, and reliable supply chain network design model has been comprehensively and efficiently modeled. In this article, a non-linear mixed integer programming model is considered for the design problem of the supply chain network in the form of three objectives, multi-product, multi-level, multi-source, multi-capacity, and multi-stage. The Pareto optimal solutions of the proposed model have been obtained using the evolved epsilon constraint (AEC) method. In addition, a numerical example with random data has been used to measure the accuracy and overall performance of the proposed model. The results showed that the profit value of the problem increases with the increase of the demand parameter. At the same time, reliability and social responsibility decrease. In addition, with the increase in greenhouse gas emissions, the value of the objective function of profit and social responsibility decreases, while the value of the objective function of reliability remains almost constant. Achieving synergy between sustainability and reliability in the design of the supply chain network requires the development of more detailed and long-term guidelines.