A new bi-objective optimization for Supply chain planning issue

In this paper, it is attempted to investigate and delve into the supply chain planning issue in multi-level, multi-product, multi-period situation. In the proposed mathematical model, simultaneously optimization of two objectives is considered. As the proposed mixed integer non-linear model has specific complexity, a new fuzzy approach toward compromise programming method is utilized and has been applied for a data set in an automotive supply chain. Finally, the efficacy and efficiency of the proposed model have been confirmed through that numerical example