Aghezzaf, E. H., Sitompul, C., & Najid, N. M. (2010). Models for robust tactical planning in multi-stage production systems with uncertain demands. Computers & Operations Research, 37(5), 880-889.
Akhtari, S., Sowlati, T., & Griess, V. C. (2018). Integrated strategic and tactical optimization of forest-based biomass supply chains to consider medium-term supply and demand variations. Applied Energy, 213, 626-638.
An, H., Wilhelm, W. E., & Searcy, S. W. (2011). A mathematical model to design a lignocellulosic biofuel supply chain system with a case study based on a region in Central Texas. Bioresource technology, 102(17), 7860-7870.
Andersen, F., Iturmendi, F., Espinosa, S., & Diaz, M. S. (2012). Optimal design and planning of biodiesel supply chain with land competition. Computers & Chemical Engineering, 47, 170-182.
Arabi, M., Yaghoubi, S., & Tajik, J. (2019). A mathematical model for microalgae-based biobutanol supply chain network design under harvesting and drying uncertainties. Energy, 179, 1004-1016.
Avakh Darestani, S., & Pourasadollah, F. (2019). A multi-objective fuzzy approach to closed-loop supply chain network design with regard to dynamic pricing. Journal of Optimization in Industrial Engineering, 12(1), 173-194.
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., Pishvaee, M. S., & Saidi-Mehrabad, M. (2016). Multiobjective robust possibilistic programming approach to sustainable bioethanol supply chain design under multiple uncertainties. Industrial & Engineering Chemistry Research, 55(1), 237-256.
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.
Billal, M. M., & Hossain, M. (2020). Multi-objective optimization for multi-product multi-period four echelon supply chain problems under uncertainty. Journal of Optimization in Industrial Engineering, 13(1), 1-17.
Dal-Mas, M., Giarola, S., Zamboni, A., & Bezzo, F. (2011). Strategic design and investment capacity planning of the ethanol supply chain under price uncertainty. Biomass and bioenergy, 35(5), 2059-2071.
Díaz-Trujillo, L. A., & Nápoles-Rivera, F. (2019). Optimization of biogas supply chain in Mexico considering economic and environmental aspects. Renewable energy, 139, 1227-1240.
Díaz-Trujillo, L. A., Fuentes-Cortés, L. F., & Nápoles-Rivera, F. (2020). Economic and environmental optimization for a biogas supply Chain: A CVaR approach applied to uncertainty of biomass and biogas demand. Computers & Chemical Engineering, 141, 107018.
Durmaz, Y. G., & Bilgen, B. (2020). Multi-objective optimization of sustainable biomass supply chain network design. Applied Energy, 272, 115259.
Egieya, J. M., Čuček, L., Zirngast, K., Isafiade, A. J., Pahor, B., & Kravanja, Z. (2019). Synthesis of biogas supply networks using various biomass and manure types. Computers & Chemical Engineering, 122, 129-151.
Esmaeili, S. A. H., Szmerekovsky, J., Sobhani, A., Dybing, A., & Peterson, T. O. (2020). Sustainable biomass supply chain network design with biomass switching incentives for first-generation bioethanol producers. Energy policy, 138, 111222.
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.
Ghaderi, H., Pishvaee, M. S., & Moini, A. (2016). Biomass supply chain network design: an optimization-oriented review and analysis. Industrial crops and products, 94, 972-1000.
Ghane, M., & Tavakkoli-Moghaddam, R. (2018). A stochastic optimization approach to a location-allocation problem of organ transplant centers. Journal of Optimization in Industrial Engineering, 11(1), 103-111.
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.
Gonela, V., Zhang, J., Osmani, A., & Onyeaghala, R. (2015). Stochastic optimization of sustainable hybrid generation bioethanol supply chains. Transportation research part e: Logistics and transportation review, 77, 1-28.
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.
Habibi, F., Asadi, E., Sadjadi, S. J., & Barzinpour, F. (2017). A multi-objective robust optimization model for site-selection and capacity allocation of municipal solid waste facilities: A case study in Tehran. Journal of Cleaner Production, 166, 816-834.
Huang, E., Zhang, X., Rodriguez, L., Khanna, M., de Jong, S., Ting, K. C., … & Lin, T. (2019). Multi-objective optimization for sustainable renewable jet fuel production: A case study of corn stover based supply chain system in Midwestern US. Renewable and Sustainable Energy Reviews, 115, 109403.
Jana, D. K., Bhattacharjee, S., Dostál, P., Janková, Z., & Bej, B. (2022). Bi-criteria optimization of cleaner biofuel supply chain model by novel fuzzy goal programming technique. Cleaner Logistics and Supply Chain, 4, 100044.
Jiang, Y., & Zhang, Y. (2016). Supply chain optimization of biodiesel produced from waste cooking oil. Transportation Research Procedia, 12, 938-949.
Kelloway, A., Marvin, W. A., Schmidt, L. D., & Daoutidis, P. (2013). Process design and supply chain optimization of supercritical biodiesel synthesis from waste cooking oils. Chemical Engineering Research and Design, 91(8), 1456-1466.
Khishtandar, S. (2019). Simulation based evolutionary algorithms for fuzzy chance-constrained biogas supply chain design. Applied energy, 236, 183-195.
Kostin, A., Macowski, D. H., Pietrobelli, J. M., Guillén-Gosálbez, G., Jiménez, L., & Ravagnani, M. A. (2018). Optimization-based approach for maximizing profitability of bioethanol supply chain in Brazil. Computers & Chemical Engineering, 115, 121-132.
Malladi, K. T., & Sowlati, T. (2018). Biomass logistics: A review of important features, optimization modeling and the new trends. Renewable and Sustainable Energy Reviews, 94, 587-599.
Marvin, W. A., Schmidt, L. D., Benjaafar, S., Tiffany, D. G., & Daoutidis, P. (2012). Economic optimization of a lignocellulosic biomass-to-ethanol supply chain. Chemical Engineering Science, 67(1), 68-79.
Najafi, G., Ghobadian, B., Tavakoli, T., & Yusaf, T. (2009). Potential of bioethanol production from agricultural wastes in Iran. Renewable and Sustainable Energy Reviews, 13(6-7), 1418-1427.
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 & Chemical Engineering, 160, 107724.
Porhinčák, M., Eštoková, A., & Vilčeková, S. (2011). Comparison of environmental impact of building materials of three residential buildings. Pollack Periodica, 6(3), 53-62.
Rabbani, M., Momen, S., Akbarian-Saravi, N., Farrokhi-Asl, H., & Ghelichi, Z. (2020). Optimal design for sustainable bioethanol supply chain considering the bioethanol production strategies: A case study. Computers & Chemical Engineering, 134, 106720.
Razik, A. H. A., Khor, C. S., & Elkamel, A. (2019). A model-based approach for biomass-to-bioproducts supply Chain network planning optimization. Food and Bioproducts Processing, 118, 293-305.
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.
Reyes-Barquet, L. M., Rico-Contreras, J. O., Azzaro-Pantel, C., Moras-Sánchez, C. G., González-Huerta, M. A., Villanueva-Vásquez, D., & Aguilar-Lasserre, A. A. (2022). Multi-Objective Optimal Design of a Hydrogen Supply Chain Powered with Agro-Industrial Wastes from the Sugarcane Industry: A Mexican Case Study. Mathematics, 10(3), 437.
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, 117165.
Sarkar, N., Ghosh, S. K., Bannerjee, S., & Aikat, K. (2012). Bioethanol production from agricultural wastes: an overview. Renewable energy, 37(1), 19-27.
Schoemaker, T. J., & Bouman, P. A. (1991). Facts and Figures on Evironmental Effects of Freight Transport in the Netherlands. In Studies in Environmental Science (Vol. 45, pp. 41-62). Elsevier.
Shabani, N., Sowlati, T., Ouhimmou, M., & Rönnqvist, M. (2014). Tactical supply chain planning for a forest biomass power plant under supply uncertainty. Energy, 78, 346-355.
Shahmoradi-Moghaddam, H., Akbari, K., Sadjadi, S. J., & Heydari, M. (2016). A scenario-based robust optimization approach for batch processing scheduling. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 230(12), 2286-2295.
Sharma, B. P., Yu, T. E., English, B. C., Boyer, C. N., & Larson, J. A. (2019). Stochastic optimization of cellulosic biofuel supply chain incorporating feedstock yield uncertainty. Energy Procedia, 158, 1009-1014.
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 , 111737.
Sharma, B., Ingalls, R. G., Jones, C. L., & Khanchi, A. (2013). Biomass supply chain design and analysis: Basis, overview, modeling, challenges, and future. Renewable and Sustainable Energy Reviews, 24, 608-627.
Tan, Q., Wang, T., Zhang, Y., Miao, X., & Zhu, J. (2017). Nonlinear multi-objective optimization model for a biomass direct-fired power generation supply chain using a case study in China. Energy, 139, 1066-1079.
Tian, S. Q., Zhao, R. Y., & Chen, Z. C. (2018). Review of the pretreatment and bioconversion of lignocellulosic biomass from wheat straw materials. Renewable and Sustainable Energy Reviews, 91, 483-489.
Wang, L., Littlewood, J., & Murphy, R. J. (2013). Environmental sustainability of bioethanol production from wheat straw in the UK. Renewable and Sustainable Energy Reviews, 28, 715-725.
Wu, W., Wang, P. H., Lee, D. J., & Chang, J. S. (2017). Global optimization of microalgae-to-biodiesel chains with integrated cogasification combined cycle systems based on greenhouse gas emissions reductions. Applied energy, 197, 63-82.
Wyman, C. E. (1994). Ethanol from lignocellulosic biomass: technology, economics, and opportunities. Bioresource Technology, 50(1), 3-15.
Zelany, M. (1974). A concept of compromise solutions and the method of the displaced ideal. Computers & Operations Research, 1(3-4), 479-496.
Zhang, F., Wang, J., Liu, S., Zhang, S., & Sutherland, J. W. (2017). Integrating GIS with optimization method for a biofuel feedstock supply chain. Biomass and bioenergy, 98, 194-205.
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.
Zirngast, K., Čuček, L., Zore, Ž., Kravanja, Z., & Pintarič, Z. N. (2019). Synthesis of flexible supply networks under uncertainty applied to biogas production. Computers & Chemical Engineering, 129, 106503.