Abstract Supply chain disruptions have serious consequences for society and this has made supply chain risk management (SCRM) an attractive area for researchers and managers. In this paper, we use an objective literature mapping approach to identify, classify, and analyze decision-making models and support systems for SCRM, providing an agenda for future research. Through bibliometric networks of articles published in the Scopus database, we analyze the most influential decision-making models and support systems for SCRM, evaluate the main areas of current research, and provide insights for future research in this field. The main results are the following: we found that the identity of the area is structured in three groups of risk decision support models: (i) quantitative multicriteria decision models, (ii) stochastic decision-making models, and (iii) computational simulation/optimization models. We mapped six current research clusters: (i) conceptual and qualitative risk models, (ii) upstream supply chain risk models, (iii) downstream supply chain risk models, (iv) supply chain sustainability risk models, (v) stochastic and multicriteria decision risk models, and (vi) emerging techniques risk models. We identified seven future research clusters, with insights from further studies for: (i) tools to operate SCRM data, (ii) validation of risk models, (iii) computational improvement for data analysis, (iv) multi-level and multi-period supply chains, (v) agrifood risks, (vi) energy risks and (vii) sustainability risks. Finally, the future research agenda should prioritize SCRM's holistic vision, the relationship between Big Data, Industry 4.0 and SCRM, as well as emerging social and environmental risks.

中文翻译：

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供应链风险的决策模型和支持系统：文献图和未来研究议程

摘要供应链中断给社会带来了严重后果，这使供应链风险管理（SCRM）成为研究人员和管理人员的一个吸引领域。在本文中，我们使用客观文献映射方法来识别，分类和分析SCRM的决策模型和支持系统，为将来的研究提供了一个议程。通过在Scopus数据库中发布的文章的文献计量网络，我们分析了最有影响力的SCRM决策模型和支持系统，评估了当前研究的主要领域，并为该领域的未来研究提供了见识。主要结果如下：我们发现该区域的身份由三组风险决策支持模型构成：（i）定量多准则决策模型，（ii）随机决策模型，（iii）计算仿真/优化模型。我们绘制了六个当前的研究类别：（i）概念和定性风险模型，（ii）上游供应链风险模型，（iii）下游供应链风险模型，（iv）供应链可持续性风险模型，（v）随机和多准则决策风险模型，以及（vi）新兴技术风险模型。我们确定了七个未来的研究集群，其中包括：（i）用于操作SCRM数据的工具；（ii）风险模型的验证；（iii）数据分析的计算改进；（iv）多层次和多时期供应链，（v）农业食品风险，（vi）能源风险和（vii）可持续性风险。最后，未来的研究议程应优先考虑SCRM的整体愿景，大数据，工业4.0和SCRM之间的关系，