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October 1, 2024

Optimal Design of a Biofuel Supply Chain Considering Government Subsidies: Mixed-Integer Linear Programming Model

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Authors

NANiloofar Akbarian-SaraviAAAli Akbarian-SaraviMRMasoud Rabbania

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Overview

Mixed-integer linear programming minimizes costs for bioethanol supply chain in Iran, suggesting financial incentives are key.

Key Points

  • Optimal allocation of resources in the biofuel supply chain could significantly reduce costs through strategic subsidies.
  • The analysis revealed that monetary incentives surpass constant subsidies in cost-efficiency across a 5-year plan.
  • This study employed a mixed-integer linear programming model to analyze the bioethanol supply chain decision-making process.
  • The findings underscore the importance of biomass conversion rates, which largely affect total supply chain costs.

Cite This Study

Akbarian-Saravi et al. (2024) studied this question.

synapsesocial.com/papers/68af6595ad7bf08b1eae522chttps://doi.org/10.21872/2024iise_6249
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