Bioethanol sustainable supply chain design: A multi-attribute bi-objective structure

To design a bioethanol supply chain, along with the transportation and operational costs, it is vital to consider more factors categorized into three sustainability pillars (i.e. economy, social environment). In this paper, develop mathematical model for chain (BSC) , we propose two-phase methodology; in first phase, using sustainable framework of attributes contributing facility location selection BSC network, calculate score alternatives through employing best-worst method (BWM). Then, considering results multi-attribute step as parameters an objective function called value function, bi-objective multi-level model. solve proposed model, Nested Optimization Genetic Algorithm (NbOGA) introduced research. Finally, evaluate performance presented algorithm real-world problem. The show that structure, both costs are appropriately satisfied network.