The sustainable biofuel supply chain optimization with considering pricing under uncertainty | ||
| مهندسی بیوسیستم ایران | ||
| Volume 55, Issue 2, July 2025, Pages 57-78 PDF (2.47 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.22059/ijbse.2024.375626.665546 | ||
| Authors | ||
| Babak Javadi* 1; leila manafi2 | ||
| 1Department of Industrial Engineering, Faculty of Engineering, College of Farabi, University of Tehran, Iran | ||
| 2Department of Industrial, Engineering, Faculty of Engineering, College of Farabi, University of Tehran, Iran | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| "sustainability"; "biofuel supply chain"; " biomass"; " uncertainty"; " pricing" | ||
| References | ||
|
Awudu, I., & Zhang, J. (2012). Uncertainties and sustainability concepts in biofuel supply chain management: A review. In Renewable and Sustainable Energy Reviews (Vol. 16, Issue 2). https://doi.org/10.1016/j.rser.2011.10.016 Chávez, M. M. M., Sarache, W., & Costa, Y. (2018). Towards a comprehensive model of a biofuel supply chain optimization from coffee crop residues. Transportation Research Part E: Logistics and Transportation Review, 116. https://doi.org/10.1016/j.tre.2018.06.001 Fattahi, M., & Govindan, K. (2018). A multi-stage stochastic program for the sustainable design of biofuel supply chain networks under biomass supply uncertainty and disruption risk: A real-life case study. Transportation Research Part E: Logistics and Transportation Review, 118. https://doi.org/10.1016/j.tre.2018.08.008 Kang, S., Heo, S., Realff, M. J., & Lee, J. H. (2020). Three-stage design of high-resolution microalgae-based biofuel supply chain using geographic information system. Applied Energy, 265. https://doi.org/10.1016/j.apenergy.2020.114773 Mahjoub, N., Sahebi, H., Mazdeh, M., & Teymouri, A. (2020). Optimal design of the second and third generation biofuel supply network by a multi-objective model. Journal of Cleaner Production, 256. https://doi.org/10.1016/j.jclepro.2020.120355 Mulvey, J. M., Vanderbei, R. J., & Zenios, S. A. (1995). Robust optimization of large-scale systems. Operations Research, 43(2). https://doi.org/10.1287/opre.43.2.264 Nur, F., Aboytes-Ojeda, M., Castillo-Villar, K. K., & Marufuzzaman, M. (2021). A two-stage stochastic programming model for biofuel supply chain network design with biomass quality implications. IISE Transactions, 53(8). https://doi.org/10.1080/24725854.2020.1751347 O’Neill, E. G., Martinez-Feria, R. A., Basso, B., & Maravelias, C. T. (2022). Integrated spatially explicit landscape and cellulosic biofuel supply chain optimization under biomass yield uncertainty. Computers and Chemical Engineering, 160. https://doi.org/10.1016/j.compchemeng.2022.107724 Ransikarbum, K., & Pitakaso, R. (2024). Multi-objective optimization design of sustainable biofuel network with integrated fuzzy analytic hierarchy process. Expert Systems with Applications, 240. https://doi.org/10.1016/j.eswa.2023.122586 Saghaei, M., Ghaderi, H., & Soleimani, H. (2020). Design and optimization of biomass electricity supply chain with uncertainty in material quality, availability and market demand. Energy, 197. https://doi.org/10.1016/j.energy.2020.117165 Sharma, B. P., Yu, T. E., English, B. C., Boyer, C. N., & Larson, J. A. (2020). Impact of government subsidies on a cellulosic biofuel sector with diverse risk preferences toward feedstock uncertainty. Energy Policy, 146. https://doi.org/10.1016/j.enpol.2020.111737 Zahraee, S. M., Shiwakoti, N., & Stasinopoulos, P. (2022). Agricultural biomass supply chain resilience: COVID-19 outbreak vs. sustainability compliance, technological change, uncertainties, and policies. Cleaner Logistics and Supply Chain, 4. https://doi.org/10.1016/j.clscn.2022.100049 Zarrinpoor, N., & Khani, A. (2023). A biofuel supply chain design considering sustainability, uncertainty, and international suppliers and markets. Biomass Conversion and Biorefinery, 13(15). https://doi.org/10.1007/s13399-022-02804-7 | ||
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