With the growing importance of sustainable supply chain management, businesses are actively looking for sustainable suppliers that consider all sustainability dimensions. This study aims to demonstrate a data‐driven methodological framework for sustainable supplier selection (SSS). The research proposes a three‐stage, data‐driven approach for SSS. The first stage involves using the life cycle sustainability assessment (LCSA) methodology. The second stage involves determining the weights of each category by using criteria importance through inter‐criteria correlation (CRITIC). Finally, the multi‐attributive border approximation area comparison (MABAC) method is utilized to assess the performance of different suppliers and identify the most sustainable supplier. This study emphasizes relying on a data‐driven approach rather than solely depending on experts' opinions and judgments. Moreover, this study demonstrates the significance of research methodology with prioritization considering industry‐specific relevant categories. This proposed framework will assist professionals and decision‐makers in making informed decisions regarding sustainable suppliers.

中文翻译：

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生命周期可持续性评估 用于可持续供应商选择的集成数据驱动方法框架

随着可持续供应链管理的重要性日益增加，企业正在积极寻找考虑所有可持续发展维度的可持续供应商。本研究旨在展示可持续供应商选择 （SSS） 的数据驱动方法框架。该研究提出了一种三阶段、数据驱动的 SSS 方法。第一阶段涉及使用生命周期可持续性评估 （LCSA） 方法。第二阶段涉及通过标准间相关性 （CRITIC） 使用标准重要性来确定每个类别的权重。最后，采用多属性边界近似区域比较 （MABAC） 方法评估不同供应商的绩效并确定最可持续的供应商。本研究强调依赖数据驱动的方法，而不是仅仅依赖专家的意见和判断。此外，本研究证明了研究方法的重要性，优先考虑考虑特定行业的相关类别。该拟议的框架将帮助专业人士和决策者就可持续供应商做出明智的决策。