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Bioethanol supply chain system planning under supply and demand uncertainties

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  • Chen, Chien-Wei
  • Fan, Yueyue

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.

Suggested Citation

  • Chen, Chien-Wei & Fan, Yueyue, 2012. "Bioethanol supply chain system planning under supply and demand uncertainties," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 150-164.
    • Handle: RePEc:eee:transe:v:48:y:2012:i:1:p:150-164
    DOI: 10.1016/j.tre.2011.08.004
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