Nowadays, concerns about fossil fuel depletion, ecological crisis, and energy security lead to renewable energy generation. The present study provides a multi-objective, multi-period, multi-product integrated sustainable-resilient mixed-integer linear programming model for the optimal design of second-generation biofuel supply chain networks under uncertainty. A novel hybrid stochastic fuzzy-robust approach was utilized to tackle the uncertainty of parameters, and the weighted sum method was applied to deal with the multi-objective problem. Several resiliency measures are introduced to enhance the resiliency of the network and resist against any disruption. Furthermore, strategies to fulfill social impacts are proposed to promote sustainable development of the considered network. Then, a real case study is implemented to investigate the validation of the proposed model. The results indicated that simultaneously considering three measures, including resilience, social impacts, and cost and setting a trade-off between them by decision-makers can boost biofuel supply chain network design in an optimal manner.

如今，对化石燃料枯竭，生态危机和能源安全的担忧导致了可再生能源的产生。本研究为不确定性下的第二代生物燃料供应链网络的优化设计提供了一个多目标，多周期，多产品的可持续弹性混合整数线性规划模型。提出了一种新颖的混合随机模糊-鲁棒方法来解决参数的不确定性问题，并采用加权和的方法来解决多目标问题。引入了几种弹性措施来增强网络的弹性并抵御任何破坏。此外，提出了实现社会影响的战略，以促进所考虑网络的可持续发展。然后，进行了实际案例研究，以研究所提出模型的有效性。结果表明，同时考虑弹性，社会影响和成本这三项措施，并由决策者在三者之间进行权衡，可以优化生物燃料供应链网络的设计。