Design under uncertainty of hydrocarbon biorefinery supply chains: Multiobjective stochastic programming models, decomposition algorithm, and a Comparison between CVaR and downside risk

A bicriterion, multiperiod, stochastic mixed‐integer linear programming model to address the optimal design of hydrocarbon biorefinery supply chains under supply and demand uncertainties is presented. The model accounts for multiple conversion technologies, feedstock seasonality and fluctuation, geo...

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Bibliographic Details
Published in:	AIChE journal Vol. 58; no. 7; pp. 2155 - 2179
Main Authors:	Gebreslassie, Berhane H., Yao, Yuan, You, Fengqi
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.07.2012 Wiley
Subjects:	Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization Applied sciences biomass to liquid Chemical engineering Economics. Management. Design assessment Exact sciences and technology multiobjective optimization risk management Safety stochastic programming supply chain uncertainty Uncertainty biomass to liquid supply chain Decomposition method Financial management Linear programming Mixed integer programming Biomass Algorithm Modeling Optimization Optimal design Stochastic programming multiobjective optimization Production planning Seasonal variation Risk management Mathematical programming Logistics
ISSN:	0001-1541, 1547-5905
Online Access:	Get full text
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