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Proactive cost-effective identification and mitigation of supply delay risks in a low volume high value supply chain using fault-tree analysis

机译:使用故障树分析,主动地经济有效地识别和缓解小批量高价值供应链中的供应延迟风险

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In this paper we use a well-accepted methodology, fault-tree analysis, to identify delay risks and proactively propose a cost-effective mitigation strategy within a low volume high value supply chain. The basis for the assessment is the bill of materials of the product being studied. The top-level event of interest represents the delay in delivering a product to a customer and lower-level events represent the probabilities associated with delays caused by quality and capability deficiencies within the supply chain of the product being studied. Supply chain risk mitigation strategies have been well documented in academic literature. However, much of what has been documented addresses such topics as facility location, inventory buffers, and is generally focused on response strategies once the risk has been realized. This paper presents a robust method to reduce the likelihood of delays in material flow by representing the system of suppliers within a supply chain as a fault-tree and proactively determining the optimum mitigation strategy for the portfolio. The approach is illustrated via real-world numerical scenarios based on hypothetical data sets and the results are presented. (C) 2016 Elsevier B.V. All rights reserved.
机译:在本文中,我们使用公认的方法,故障树分析来确定延迟风险,并在小批量高价值供应链中主动提出具有成本效益的缓解策略。评估的依据是所研究产品的物料清单。所关注的顶级事件表示向客户交付产品的延迟,而较低级别的事件表示与所研究产品的供应链中的质量和能力缺陷导致的延迟相关的概率。减轻供应链风险的策略已在学术文献中得到充分证明。但是,已记录的许多内容都针对诸如设施位置,库存缓冲区之类的主题,并且一旦发现风险,通常就将重点放在应对策略上。本文提出了一种可靠的方法,通过将供应链中的供应商系统表示为故障树并主动确定投资组合的最佳缓解策略来减少物料流延迟的可能性。通过基于假设数据集的实际数值场景对这种方法进行了说明,并给出了结果。 (C)2016 Elsevier B.V.保留所有权利。

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