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Logistics 2018, 2(3), 14; https://doi.org/10.3390/logistics2030014

Unravelling the Complexity of Supply Chain Volatility Management

Chair of Logistics, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany
Received: 14 June 2018 / Revised: 31 July 2018 / Accepted: 3 August 2018 / Published: 7 August 2018
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Abstract

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. View Full-Text
Keywords: supply chain volatility; Analytical Hierarchy Process; Nominal Group Technique supply chain volatility; Analytical Hierarchy Process; Nominal Group Technique
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Nitsche, B. Unravelling the Complexity of Supply Chain Volatility Management. Logistics 2018, 2, 14.

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