Environmental concerns such as water pollution and global warming resulted in considerable attention being paid to sustainable bioenergy. Due to the eco-friendly nature of sustainable bioenergy, we investigated an integrated bioenergy supply chain network design. In the proposed network, different energy crops, Azadirachta indica and Eruca sativa are taken into account, which leads to different sources for bioenergy production. Furthermore, to prevent further environmental pollution, the wastewater produced at biorefinery is used to generate bioelectricity. This paper addresses a sustainable-efficient bioenergy supply chain network design under uncertainty. A multi-period, multi-product mathematical model is proposed to minimize inefficiency, environmental impacts, and supply chain costs. Furthermore, to cope with uncertainty, a mixed robust-possibilistic programming approach is applied to the model. Finally, computational results based on Iran's real-world case demonstrate the improved performance of the designed bioenergy network by considering three measures of cost, efficiency, and environmental impacts.

水污染和全球变暖等环境问题导致人们对可持续生物能源给予了极大关注。由于可持续生物能源的生态友好性质，我们研究了集成的生物能源供应链网络设计。在拟议的网络中，考虑到了不同的能源作物，印A（Azadirachta indica）和紫草（Eruca sativa），这导致了生物能源生产的不同来源。此外，为了防止进一步的环境污染，生物精炼厂产生的废水用于产生生物电。本文讨论了不确定性下可持续发展的高效生物能源供应链网络设计。提出了一种多周期，多产品的数学模型，以最大程度地降低效率低下，对环境的影响以及供应链成本。此外，为了应对不确定性，该模型采用了混合的鲁棒-可能性编程方法。最后，基于伊朗真实案例的计算结果通过考虑成本，效率和环境影响三项指标，证明了设计的生物能源网络的性能得到了改善。