Design of Biofuel Supply Chains under Uncertainty with Multiobjective Stochastic Programming Models and Decomposition Algorithm
Fengqi Youa, Northwestern University, Evanston, IL 60208, USA
Abstract
In this paper, a bi-criterion, multi-period, stochastic mixed-integer linear programming model is proposed to address the optimal design and planning of hydrocarbon biorefinery supply chains under supply and demand uncertainties. The model accounts for diverse conversion technologies, feedstock seasonality and fluctuation, geographical diversity, biomass degradation, demand variation, government incentives and risk management. The objective is simultaneous minimization of the expected annualized cost and the financial risk which is measured by ...
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