Please use this identifier to cite or link to this item: https://doi.org/10.1080/13675567.2021.1990872
Title: Quantifying Supply Chain Disruption: A Recovery Time Equivalent Value at Risk Approach
Authors: Allan N. Zhang
Stephan M. Wagner
Mark Goh 
Sobhan Asian
Issue Date: 25-Oct-2021
Publisher: Taylor & Francis
Citation: Allan N. Zhang, Stephan M. Wagner, Mark Goh, Sobhan Asian (2021-10-25). Quantifying Supply Chain Disruption: A Recovery Time Equivalent Value at Risk Approach. International Journal of Logistics Research and Applications 27 (5) : 667-687. ScholarBank@NUS Repository. https://doi.org/10.1080/13675567.2021.1990872
Source Title: International Journal of Logistics Research and Applications
URI: https://scholarbank.nus.edu.sg/handle/10635/248252
ISSN: 1367-5567
DOI: 10.1080/13675567.2021.1990872
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