Robust Optimization of Waste Cooking Oil Recovery Network for Biodiesel Production under Uncertainties
As a good substitute for fossil diesel,the global production amount of biodiesel is increasing year by year.However,due to huge demands for grain and edible oil,the first-generation biodiesel could not be produced from biomass in China.Considering that a large amount of waste cooking oil was produced in China every year,an optimization model of cooking oil recovery network was constructed aiming at minimizing the total cost,so as to realize the recycling of waste oil and provide qualified biodiesel.In view of the uncertainties in daily recovery volumes and demands for biodiesel,a budget-based robust optimization model with government subsidies was formulated.By using linearization and dual transformation,the nonlinear mixed integer programming model was transformed into a tractable linear robust equivalent model,which could be solved by CPLEX.The effectiveness of the robust optimization model was demonstrated with an actual case.Simulation experiments demonstrate that the robust optimization model is effective when uncertainties are dealt with.
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