Bioethanol supply chain system planning under supply and demand uncertainties

Chien-Wei Chen and Yueyue Fan

Transportation Research Part E: Logistics and Transportation Review, 2012, vol. 48, issue 1, 150-164

Abstract: A mixed integer stochastic programming model is established to support strategic planning of bioenergy supply chain systems and optimal feedstock resource allocation in an uncertain decision environment. The two-stage stochastic programming model, together with a Lagrange relaxation based decomposition solution algorithm, was implemented in a real-world case study in California to explore the potential of waste-based bioethanol production. The model results show that biowaste-based ethanol can be a viable part of sustainable energy solution for the future.

Keywords: Energy supply chain planning; Stochastic programming; Decomposition; Cellulosic biofuel; Biowastes (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (63)

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DOI: 10.1016/j.tre.2011.08.004

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