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Unravelling the Complexity of Supply Chain Volatility Management

机译：揭示供应链波动管理的复杂性

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Managing supply chain volatility (SCV) is often identified as one of the major challenges of modern supply chain management. While research has predominantly focused on describing the multidimensional areas of SCV and its negative impacts, clear guidelines on how to manage SCV for efficiency, and prioritize the areas on which to focus, are sparse. This study seeks to fill this gap in the research by: (1) assessing the relative impact of SCV sources, and (2) proposing means to deal with them. Based on an Analytical Hierarchy Process conducted with 17 SCM practitioners, the paper assesses the relative impact of sources of SCV, and further contextualizes them according to factors such as product lead time and production strategy, providing more fine-grained insights for SC managers seeking to manage SCV. Subsequently, the paper applies the Nominal Group Technique with the same group of practitioners in order to identify and condense strategies for dealing with the most impactful sources of SCV (intra-organizational misalignment, inaccurate forecasting, long lead times, erratic behavior of decision makers in the supply chain, erratic behavior of customers, and high level of competition), leading to a set of 44 SCV-management strategies.
机译：管理供应链波动（SCV）通常被认为是现代供应链管理的主要挑战之一。尽管研究主要集中于描述SCV的多维领域及其负面影响，但有关如何管理SCV以提高效率并确定优先重点领域的清晰指南却很少。本研究旨在通过以下方式填补研究中的空白：（1）评估SCV来源的相对影响，以及（2）提出应对这些来源的方法。基于与17位SCM从业人员进行的层次分析过程，本文评估了SCV来源的相对影响，并根据产品交货时间和生产策略等因素对它们进行了背景分析，从而为寻求SCV的SC经理提供了更细化的见解。管理SCV。随后，本文将“名义小组技术”与同一组从业者一起使用，以识别和压缩应对最有影响力的SCV来源的策略（组织内部错位，不准确的预测，较长的交货时间，决策者行为不稳定）。供应链，客户不稳定的行为以及高水平的竞争），导致了44种SCV管理策略。

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