In most classical supply chain (SC) network designs, the major goal is to produce and send products from one echelon to another echelon to satisfy the demands of the market place in order to minimize the chains’ costs or maximize the total benefit. Today’s competitive market makes the supply chain management more important. Nowadays, to survive in a highly competitive market place, companies have to reduce supply chain risk, improve the distribution methods, optimize inventory levels and improve customer service and customer satisfaction. In the literature of supply chain network design problems, to make the models more realistic, several objectives are considered together (Murillo-Alvarado et al. 2015; Pasandideha et al. 2015; Godichaud and Amodeo 2015; Gholamian et al. 2015). Besides, the solution of multi-objective problems is both attractive and challenging (Kao et al. 2014; Jadidia et al. 2015; Ghodratnama et al. 2015; Validi et al. 2014). As customer interests are rapidly changing, strategies to collaborate with or compete with suitable firms within a network should be considered in the new product development (NPD) process. While in both fields, NPD and supply chain management, have received a considerable attention, they are hardly considered together. Since this paper deals with both the multi-objective optimization and integration of NPD and SC, a brief introduction to the concepts of multi-objective problems in supply chain and integration of NPD and SC is presented below. In the next two subsections of this paper, the existing literature on multi-objective optimization problems and integration of NPD and SC is reviewed. ‘‘Mathematical model and problem descriptions’’ presents the mathematical model and model’s assumptions. The solving methodology is defined in ‘‘Solving methodology’’. ‘‘Applications and comparisons’’ presents the computational results and, finally, conclusions are reported in ‘‘Conclusions’’.