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Models for supplier selection and risk mitigation: a holistic approach

机译：供应商选择和风险缓解模型：整体方法

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摘要

According to a study conducted by PwC and the Business Continuity Institute in 2013, 75% of companies experience at least one major supply chain disruption a year and majority of the disruptions were caused by supply-related problems. With an increasing emphasis on upstream risk, risk management in supplier selection has become a critical issue faced by companies. Although previous studies proposed different methods and tools for effective and efficient supplier selection, only few approaches have attempted to incorporate risk mitigation strategies in supplier selection decisions. Our study aims to fill this gap by considering a wide range of quantitative and qualitative risk factors in supplier selection and evaluates the efficacy of alternative risk mitigation strategies in this context. Moreover, we suggest that both upstream and downstream strategies should be utilised simultaneously rather than relying on a single type of strategy. We further suggest that it is critical to align upstream and downstream risk mitigation strategies to reduce risk. We employ multi-objective optimization-based simulation in developing a decision model and consider data from an automotive parts manufacturer to demonstrate the application of our approach.
机译：普华永道和商业连续性研究所在2013年进行的一项研究表明，每年有75％的公司至少经历了一次重大供应链中断，而大部分中断是由与供应有关的问题引起的。随着对上游风险的日益重视，供应商选择中的风险管理已成为公司面临的关键问题。尽管先前的研究提出了用于有效和高效选择供应商的不同方法和工具，但只有极少数方法尝试将风险缓解策略纳入供应商选择决策中。我们的研究旨在通过在选择供应商时考虑各种定量和定性风险因素来填补这一空白，并在此背景下评估替代性风险缓解策略的有效性。此外，我们建议上游策略和下游策略应同时利用，而不是依靠单一类型的策略。我们进一步建议，调整上游和下游风险缓解策略以降低风险至关重要。我们在开发决策模型时采用了基于多目标优化的仿真，并考虑了来自汽车零部件制造商的数据以演示我们方法的应用。

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