Socially responsible supplier selection and sustainable supply chain development: A combined approach of total interpretive structural modeling and fuzzy analytic network process
针对供应商选择中专家意见模糊和评价标准关系复杂的问题，提出结合全解释结构模型和模糊网络层次分析法的混合模型，并通过中国食品行业案例验证其可行性，为管理者评估供应商和制定可持续供应链策略提供参考。
Abstract Socially responsible supplier selection and sustainable supply chain development involve extremely important decision‐making processes in supply chain management encompassing many quantitative and qualitative factors to consider. Given the vagueness of experts' opinions and the complex interrelationships among evaluation criteria, this study proposes and illustrates a hybrid model that combines total interpretive structural modeling (TISM) and fuzzy analytic network process (FANP) to determine the most appropriate supplier from a social responsibility perspective. We use TISM to explain the interrelationships among variables and the FANP to calculate specific scores for each candidate. We illustrate an application of the proposed hybrid model using a case study from the Chinese food industry. The result demonstrates the feasibility and effectiveness of combining TISM and the FANP for socially responsible supplier selection. This research may provide managerial insights for practitioners to evaluate suppliers and develop sustainable supply chain strategies.