Economic and environmental optimization of a large scale sustainable dual feedstock lignocellulosic-based bioethanol supply chain in a stochastic environment

•2-Stage stochastic MILP model for optimizing the performance of a sustainable lignocellulosic-based biofuel supply chain.•Multiple uncertainties in biomass supply, purchase price of biomass, bioethanol demand, and sale price of bioethanol.•Stochastic parameters significantly impact the allocation of biomass processing capacities of biorefineries.•Location of biorefineries and choice of conversion technology is found to be insensitive to the stochastic environment.•Use of Sample Average Approximation (SAA) algorithm as a decomposition technique.