Abstract
The literature on supply chain risk analysis is mostly of anecdotal or case-based nature [56, 225, 348] and only few authors present empirical research [328], see Chapter 3. While the results of the former type of analysis reveal the need for an improved management of supply chains newly facing disruptions, the latter provides rationalizations and best practices of historical events. However, conclusions of both analyses are not by implication transferable to other supply chains, other circumstances or other incidents.
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© 2016 Springer Fachmedien Wiesbaden
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Heckmann, I. (2016). A Simulation-based Approach for Supply Chain Risk Analysis (SimSCRF). In: Towards Supply Chain Risk Analytics. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-14870-6_8
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DOI: https://doi.org/10.1007/978-3-658-14870-6_8
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Online ISBN: 978-3-658-14870-6
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