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A mixed-integer linear programming model with multi-unit strategy for distributed biorefinery superstructures with economic and social benefits

机译：A mixed-integer linear programming model with multi-unit strategy for distributed biorefinery superstructures with economic and social benefits

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Biofuels have emerged as a promising alternative for depleting fossil fuels. Efficient biofuel production requires the optimal supply chain design and the planning of complex production operations in biorefineries. The biomass processing is capacity constrained due to design restrictions. The limitation on the production capacity corresponding to a selected technology restricts the maximum production from the most profitable process. In such a scenario, the production plan involves the use of less profitable processes to satisfy the demand, resulting in a sub-optimal solution. This article proposes a multi-unit, multi-period supply chain model to overcome the restriction in plant capacity by establishing multiple units of a profitable process. The multi-objective optimization study of the proposed model has been demonstrated on a case study from the literature that requires the design of supply chain for bioenergy. The proposed formulation leads to solutions with better economic and social benefits than those reported in the literature. The multi-unit model provides a solution which has a 4.73% increase in profit and generates 78 additional jobs for a horizon of 12 months. The optimal network design has contributed to several key findings, such as the breakeven point of the raw materials with respect to the profit and the dual relationship between profit and the number of jobs generated. The study also analyzes the effect of multiple units and variations of demand on the proposed model. The multi-unit model is able to determine a solution with 3.96% improvement in profit even with a reduction in the demand by 50%. [GRAPHICS] .

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