چكيده به لاتين
As regard to global warming and the effects of greenhouse gases, researchers are paying more attention to renewable energy. Biomass is an important source of biofuels and bioenergy that can replace fossil fuels and lead to reduce greenhouse gas emissions, air pollution, dependence on fossil fuels and provides energy security. Therefore, due to the importance of bioenergy and biofuels, in this paper, a multi-product, multi-period and green mathematical model has been developed to optimize cost and environmental objectives for the biofuel and bioethanol supply chain, which includes these decisions: facility location, capacity location, inventory holding level, technology selection, material flow and allocation, biomass type, and mode of transportation. wheat straw has been used in this paper and the proposed model includs six levels, the first level related to cultivation facility, the second to fifth level related to preprocessing and processing of intermediate and final products and sixth level related to demand zone. At each level products can be transported to next level or sold directly or stored in the warehouse of each facility. To solve multi-objective mathematical model and determine pareto optimal points under uncertainty a Scenario-based robust Compromise programming approach has been develped. In the end, performance and effectiveness of scenario-based robust compromise programming (SRCP) aproach is validated and the results of a case study in iran have been analyzed.
