Achten, W. M., Verchot, L., Franken, Y. J., Mathijs, E., Singh, V. P., Aerts, R., & Muys, B. (2008). Jatropha bio-diesel production and use. Biomass and bioenergy, 32(12), 1063-1084.
Akbarian Saravi, N., Yazdanparast, R., Momeni, O., Heydarian, D., & Jolai, F. (2018). Location optimization of agricultural residues-based biomass plant using Z-number DEA. Journal of Industrial and Systems Engineering, 12(1), 39-65.
Atabani, A. E., Badruddin, I. A., Badarudin, A., Khayoon, M. S., & Triwahyono, S. (2014). Recent scenario and technologies to utilize non-edible oils for biodiesel production. Renewable and Sustainable Energy Reviews, 37, 840-851.
Babazadeh, R., Ghaderi, H., & Pishvaee, M. S. (2019). A benders-local branching algorithm for second-generation biodiesel supply chain network design under epistemic uncertainty. Computers & Chemical Engineering, 124, 364-380.
Babazadeh, R. (2017). Optimal design and planning of biodiesel supply chain considering non-edible feedstock. Renewable and Sustainable Energy Reviews, 75, 1089-1100.
Babazadeh, R., Razmi, J., Pishvaee, M. S., & Rabbani, M. (2017). A sustainable second-generation biodiesel supply chain network design problem under risk. Omega, 66, 258-277.
Bairamzadeh, S., Saidi-Mehrabad, M., & Pishvaee, M. S. (2018). Modelling different types of uncertainty in biofuel supply network design and planning: A robust optimization approach. Renewable energy, 116, 500-517.
Ezzati, F., Babazadeh, R., & Donyavi, A. (2018). Optimization of multimodal, multi-period and complex biodiesel supply chain systems: Case study. Renewable Energy Focus, 26, 81-92.
Farahani, M., & Rahmani, D. (2017). Production and distribution planning in petroleum supply chains regarding the impacts of gas injection and swap. Energy, 141, 991-1003.
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, 534-567.
Fernandes, L. J., Relvas, S., & Barbosa-Póvoa, A. P. (2013). Strategic network design of downstream petroleum supply chains: single versus multi-entity participation. Chemical engineering research and design, 91(8), 1557-1587.
Ghadami, M., Sahebi, H., Pishvaee, M., & Gilani, H. (2021). A sustainable cross-efficiency DEA model for international MSW-to-biofuel supply chain design. RAIRO: Recherche Opérationnelle, 55, 2653.
Ghaderi, H., Moini, A., & Pishvaee, M. S. (2018). A multi-objective robust possibilistic programming approach to sustainable switchgrass-based bioethanol supply chain network design. Journal of cleaner production, 179, 368-406.
Ghani, N. M. A. M. A., Vogiatzis, C., & Szmerekovsky, J. (2018). Biomass feedstock supply chain network design with biomass conversion incentives. Energy Policy, 116, 39-49.
Ghelichi, Z., Saidi-Mehrabad, M., & Pishvaee, M. S. (2018). A stochastic programming approach toward optimal design and planning of an integrated green biodiesel supply chain network under uncertainty: A case study. Energy, 156, 661-687.
Ghezavati, V. R., Ghaffarpour, M. H., & Salimian, M. (2015). A hierarchical approach for designing the downstream segment for a supply chain of petroleum production systems. Journal of Industrial and Systems Engineering, 8(4), 1-17.
Gupta, V., & Grossmann, I. E. (2014). Multistage stochastic programming approach for offshore oilfield infrastructure planning under production sharing agreements and endogenous uncertainties. Journal of Petroleum Science and Engineering, 124, 180-197.
Habib, M. S., Asghar, O., Hussain, A., Imran, M., Mughal, M. P., & Sarkar, B. (2021). A robust possibilistic programming approach toward animal fat-based biodiesel supply chain network design under uncertain environment. Journal of Cleaner Production, 278, 122403.
Huber, G. W., & Corma, A. (2007). Synergies between bio‐and oil refineries for the production of fuels from biomass. Angewandte Chemie International Edition, 46(38), 7184-7201.
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, 114773.
Kazemi, Y., & Szmerekovsky, J. (2015). Modeling downstream petroleum supply chain: The importance of multi-mode transportation to strategic planning. Transportation Research Part E: Logistics and Transportation Review, 83, 111-125.
Leiras, A., Ribas, G., Hamacher, S., & Elkamel, A. (2013). Tactical and operational planning of multirefinery networks under uncertainty: an iterative integration approach. Industrial & Engineering Chemistry Research, 52(25), 8507-8517.
Lima, C., Relvas, S., & Barbosa-Póvoa, A. (2021). Designing and planning the downstream oil supply chain under uncertainty using a fuzzy programming approach. Computers & Chemical Engineering, 151, 107373.
Lima, C., Relvas, S., & Barbosa-Póvoa, A. (2018). Stochastic programming approach for the optimal tactical planning of the downstream oil supply chain. Computers & Chemical Engineering, 108, 314-336.
Lin, T., Rodríguez, L. F., Shastri, Y. N., Hansen, A. C., & Ting, K. C. (2014). Integrated strategic and tactical biomass–biofuel supply chain optimization. Bioresource technology, 156, 256-266.
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, 120355.
Mohtashami, Z., Bozorgi-Amiri, A., & Tavakkoli-Moghaddam, R. (2021). A two-stage multi-objective second generation biodiesel supply chain design considering social sustainability: A case study. Energy, 233, 121020.
Mousavi Ahranjani, P., Ghaderi, S. F., Azadeh, A., & Babazadeh, R. (2018). Hybrid multiobjective robust possibilistic programming approach to a sustainable bioethanol supply chain network design. Industrial & Engineering Chemistry Research, 57(44), 15066-15083.
Nasab, N. M., & Amin-Naseri, M. R. (2016). Designing an integrated model for a multi-period, multi-echelon and multi-product petroleum supply chain. Energy, 114, 708-733.
Oliveira, F., Grossmann, I. E., & Hamacher, S. (2014). Accelerating Benders stochastic decomposition for the optimization under uncertainty of the petroleum product supply chain. Computers & Operations Research, 49, 47-58.
Öztürkoğlu, Ö., & Lawal, O. (2016). The integrated network model of pipeline, sea and road distribution of petroleum product. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 6(2), 151-165.
Peri, M., & Baldi, L. (2013). The effect of biofuel policies on feedstock market: Empirical evidence for rapeseed oil prices in EU. Resource and Energy Economics, 35(1), 18-37.
Rabani, M., Moazam, E., Akbarian Saravi, N., & Farrokhi-Asl, H. (2020). A mathematical model for a hybrid first/second generation of biodiesel supply chain design with limited and reliable multimodal transport. Journal of Industrial and Systems Engineering, 13(2), 105-120.
Razm, S., Nickel, S., Saidi-Mehrabad, M., & Sahebi, H. (2019). A global bioenergy supply network redesign through integrating transfer pricing under uncertain condition. Journal of Cleaner Production, 208, 1081-1095.
Sahebi, H., Nickel, S., & Ashayeri, J. (2014). Environmentally conscious design of upstream crude oil supply chain. Industrial & Engineering Chemistry Research, 53(28), 11501-11511.
Tong, K., Gleeson, M. J., Rong, G., & You, F. (2014). Optimal design of advanced drop-in hydrocarbon biofuel supply chain integrating with existing petroleum refineries under uncertainty. biomass and bioenergy, 60, 108-120.
Tong, K., Gong, J., Yue, D., & You, F. (2014). Stochastic programming approach to optimal design and operations of integrated hydrocarbon biofuel and petroleum supply chains. ACS Sustainable Chemistry & Engineering, 2(1), 49-61.
Tong, K., You, F., & Rong, G. (2014). Robust design and operations of hydrocarbon biofuel supply chain integrating with existing petroleum refineries considering unit cost objective. Computers & Chemical Engineering, 68, 128-139.
Wang, B., Van Fan, Y., Chin, H. H., Klemeš, J. J., & Liang, Y. (2020). Emission-cost nexus optimisation and performance analysis of downstream oil supply chains. Journal of Cleaner Production, 266, 121831.
Ward, H., Radebach, A., Vierhaus, I., Fügenschuh, A., & Steckel, J. C. (2017). Reducing global CO2 emissions with the technologies we have. Resource and Energy Economics, 49, 201-217.
Xie, F., Huang, Y., & Eksioglu, S. (2014). Integrating multimodal transport into cellulosic biofuel supply chain design under feedstock seasonality with a case study based on California. Bioresource technology, 152, 15-23.
Zhang, Y., & Jiang, Y. (2017). Robust optimization on sustainable biodiesel supply chain produced from waste cooking oil under price uncertainty. Waste Management, 60, 329-339.
Zhou, X., Zhang, H., Xin, S., Yan, Y., Long, Y., Yuan, M., & Liang, Y. (2020). Future scenario of China’s downstream oil supply chain: Low carbon-oriented optimization for the design of planned multi-product pipelines. Journal of Cleaner Production, 244, 118866.