Abstarct: Biomass energy is recognized as an important source of renewable energy that has positive effects on the economy, the environment and society. Due to the global energy crisis and the increasing emissions of greenhouse gases, the use of biological products is expected to increase day by day; Because it reduces dependence on fossil fuels. Biofuel production could potentially play a major role in meeting energy demand. Demand for this energy has increased in recent decades, so there is a significant need to study the entire biofuel supply chain to assess the economic and social impacts, as well as to identify important factors in determining the optimal direction for the development of fuel production plans. For this purpose, in this study, the biofuel supply chain from biomass harvest from biomass production farms to its transfer to power plants has been investigated. The supply chain studied in this study is one-stage so that the first node of the farm are located as suppliers of biomass and in the second node are located the final process or power plants. In general, in this research, the problem of biomass supply chain network (BSCN) network design has been proposed in an optimal way through an algorithmic perspective. The proposed algorithm has a recursive form, because the obtained answers in each iteration are used as initial values for the next iteration. In this work, a recursive algorithm (RDEA) is presented, which introduces a different method for designing a supply chain network. Decisions on location, facility allocation, relocation, inventory, and costs in the supply chain have been made using an integrated linear programming (MILP) model. The optimal supply chain structure is obtained when the completion criterion is met, and offers only effective solutions, while at the same time increasing the overall profit and also to determine the efficiency of each chain from the data envelopment analysis method (DEA) used to do this by coding in R software. In summary, what has been obtained from this study can be stated that out of 31 provinces of the country that have been candidates for the construction of biomass power plants, only 3 provinces can economically build power plants in them.