Owing to today’s highly competitive market environments, substantial attention has been focused on sustainably resilient supply chains (SCs) over the last few years. Nevertheless, very few studies have focused on the efficiency evaluation analysis of the sustainability and resilience of SCs as an inevitable essential in any profitable business. This study aims to address this issue by proposing a novel fuzzy chance-constrained two-stage data envelopment analysis (DEA) model as an advanced and rigorous approach in the performance evaluation of sustainably resilient SCs. To the best of our knowledge, the current study is pioneering as it introduces a new fuzzy chance-constrained two-stage method that can be used to undertake the deterministic non-fuzzy programming of the proposed model. The proposed approach is validated and applied to evaluate a real case study including 21 major public transport providers in three megacities. The results demonstrate the advantages of the proposed approach in comparison to the existing approaches in the literature.

由于当今竞争激烈的市场环境，在过去几年中，可持续弹性供应链 (SC) 受到了极大的关注。然而，很少有研究关注 SC 的可持续性和弹性的效率评估分析，作为任何盈利业务中不可避免的必要条件。本研究旨在通过提出一种新的模糊机会约束的两阶段数据包络分析 (DEA) 模型来解决这个问题，作为评估可持续弹性 SCs 性能的一种先进而严格的方法。据我们所知，目前的研究是开创性的，因为它引入了一种新的模糊机会约束两阶段方法，可用于对所提出的模型进行确定性非模糊规划。所提议的方法经过验证并应用于评估真实案例研究，其中包括三个特大城市的 21 家主要公共交通供应商。结果表明，与文献中的现有方法相比，所提出的方法具有优势。