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The aim of this work was to develop a model for optimizing the life cycle cost of biofuel supply chain under uncertainties. Multiple agriculture zones, multiple transportation modes for the transport of grain and biofuel, multiple biofuel plants, and multiple market centers were considered in this model, and the price of the resources, the yield of grain and the market demands were regarded as interval numbers instead of constants. An interval linear programming was developed, and a method for solving interval linear programming was presented. An illustrative case was studied by the proposed model, and the results showed that the proposed model is feasible for designing biofuel supply chain under uncertainties. [ABSTRACT FROM AUTHOR]

Highlights: [•] A model for designing the most sustainable bioethanol supply chain is developed. [•] Ecological footprint is used as a measure of sustainability in the model. [•] Life cycle perspective is incorporated in the design of bioethanol supply chain. [•] Multiple options in each stage of bioethanol supply chain are considered. [Copyright &y& Elsevier]