The objective of this study is to present a new stochastic two-stage data envelopment analysis (DEA) model for assessing the sustainability of supply chains. Unlike the conventional DEA models, which consider each decision making unit as a black box, two-stage DEA models consider the intermediate products. The main contribution of the current paper is to develop a two-stage DEA model in centralized context in the presence of stochastic data. The efficacy of the developed approach is shown by a case study.

中文翻译：

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开发用于评估供应链可持续性的线性随机两阶段数据包络分析模型：以焊接行业为例

本研究的目的是提出一种新的随机两阶段数据包络分析 (DEA) 模型，用于评估供应链的可持续性。与传统的 DEA 模型将每个决策单元视为一个黑箱不同，两阶段 DEA 模型考虑中间产品。当前论文的主要贡献是在存在随机数据的集中上下文中开发了一个两阶段 DEA 模型。案例研究显示了所开发方法的有效性。