Stochastic optimization of sustainable hybrid generation bioethanol supply chains

Vinay Gonela, Jun Zhang, Atif Osmani and Raphael Onyeaghala

Transportation Research Part E: Logistics and Transportation Review, 2015, vol. 77, issue C, 1-28

Abstract: This paper focuses on designing a hybrid generation bioethanol supply chain (HGBSC) that will account for economic, environmental and social aspects of sustainability under various uncertainties. A stochastic mixed integer linear programming model is proposed to design an optimal HGBSC. A case study set in the state of North Dakota in the United States is used as an application of the proposed model. The results suggest that the designs of optimal HGBSC change when different sustainability standards are applied. In addition, sensitivity analysis is conducted to provide deeper understanding of the proposed model.

Keywords: Bioethanol supply chain; Sustainability; Uncertainty; Hybrid generation; Tax credits (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (13)

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DOI: 10.1016/j.tre.2015.02.008

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