Optimization of biomass supply chain network in four levels

Pollution due to biomass burial, the possibility of producing clean energy from biomass and the high demand for ‎energy have made the optimization of the biomass supply chain network important and necessary. The purpose of ‎this article is to optimize biomass supply chain network at four levels in order to reduce economic and ‎environmental costs. The most important gap in research, resolved in this article, is the determination of the ‎desirable and undesirable outputs of the masses in the centers. Separating and considering the multi-period, multi-‎product mode with heterogeneous transport means. The research model is a two-objective linear programming of a ‎correct number mixed with uncertainty and disturbance, four scenarios were designed for this purpose. The model ‎was solved with genetic algorithm and MOPSO method and with Python software. Validation of the model was ‎investigated in a real case study in Fars province has been The proposed model has been able to implement ‎sustainability and resilience at the same time, which has reduced costs, reduced carbon emissions, and increased the ‎commercialization of energy production from biomass, thus increasing the willingness of investors to invest in this ‎network. It is supplied from the supply chain. The proposed model makes the amount of energy production 2.1% ‎lower than when the favorable and unfavorable outputs are not considered, which means it is much closer to reality. ‎By performing sensitivity analysis on real data, the efficiency of the model was proved