University of Tehran Press Iranian Journal of Biosystem Engineering 2008-4803 55 2 2024 06 21 The sustainable biofuel supply chain optimization with considering pricing under uncertainty The sustainable biofuel supply chain optimization with considering pricing under uncertainty 57 78 100410 10.22059/ijbse.2024.375626.665546 FA Babak Javadi Department of Industrial Engineering, Faculty of Engineering, College of Farabi, University of Tehran, Iran 0000-0002-5553-2501 Leila Manafi Department of Industrial, Engineering, Faculty of Engineering, College of Farabi, University of Tehran, Iran 0009-0006-8864-1794 Journal Article 2024 04 24 The increasing population and changing lifestyles have significantly increased the energy demand in today's world. Therefore, the development of renewable energy systems such as biofuels is of paramount importance. However, managing the biofuel supply chain has many challenges due to its complexity and uncertainties. This research investigates the optimization of the biofuel supply chain using a comprehensive approach based on mathematical modeling. In this study, a mixed-integer linear programming model is developed to design a sustainable biomass supply chain. This model, by considering the uncertainty in raw material pricing, helps managers make optimal and efficient decisions. Additionally, using stochastic and robust optimization approaches, the model can manage risks arising from uncertainty. The results of the modeling show that under uncertainty, environmental and social welfare objectives are aligned. In other words, improving environmental performance also leads to increased social welfare. Moreover, changes in environmental costs have a significant impact on the level of social welfare. The increasing population and changing lifestyles have significantly increased the energy demand in today's world. Therefore, the development of renewable energy systems such as biofuels is of paramount importance. However, managing the biofuel supply chain has many challenges due to its complexity and uncertainties. This research investigates the optimization of the biofuel supply chain using a comprehensive approach based on mathematical modeling. In this study, a mixed-integer linear programming model is developed to design a sustainable biomass supply chain. This model, by considering the uncertainty in raw material pricing, helps managers make optimal and efficient decisions. Additionally, using stochastic and robust optimization approaches, the model can manage risks arising from uncertainty. The results of the modeling show that under uncertainty, environmental and social welfare objectives are aligned. In other words, improving environmental performance also leads to increased social welfare. Moreover, changes in environmental costs have a significant impact on the level of social welfare. https://ijbse.ut.ac.ir/article_100410_0686b335504cb1bce30a3e7cfc1df14d.pdf