In today's complex, global supply n

在当今复杂的全球供应网络中，识别，评估和缓解中断风险变得越来越具有挑战性。传统的供应链实践主要集中在二元风险管理上，很少考虑次级供应网络中的风险。但是，这种方法严重限制了决策者了解系统风险的高度关联性并制定相应的缓解策略的能力。基于供应链理论（如复杂系统，网络分析和风险管理），我们证明了视觉决策支持对供应网络风险评估的重要性。我们通过电子行业的供应网络可视化示例以经验方式说明我们的方法。<br>系统和未来的研究机会。

在当今复杂的全球供应网络中，识别、评估和降低中断风险变得越来越具有挑战性。传统的供应链做法主要侧重于 dyadic 风险管理，很少考虑子层供应网络中的风险。然而，这种方法严重限制了决策者理解系统性风险高度相互关联性并制定相应缓解战略的能力。基于复杂系统、网络分析和风险管理等供应链理论，我们证明了可视化决策支持对于供应网络风险评估的重要性。我们通过电子行业的供应网络可视化示例来实际说明我们的方法。我们总结这项研究，对视觉供应网络决策支持的设计和实施有影响<br>系统和未来的研究机会。

In today's complex, global supply networks it has become increasingly challenging to identify, evaluate, and mitigate risks of disruption. Traditional supply chain practices have primarily focused on dyadic risk management,rarely considering risks in the sub-tier supply network. However, this approach severely limits a decision maker's ability to understand the highly interconnected nature of systemic risks and develop corresponding mitigation strategies. Grounded in theories of supply chains as complex systems, network analysis, and risk management, we demonstrate the importance of visual decision support for supply network risk assessment. We empirically illustrate our approach with supply network visualization examples from the electronics industry. We conclude the study with implications for the design and implementation of visual supply network decision supportsystems and future research opportunities.<br>