Worst Expected Best method for assessment of probabilistic network expected value at risk: application in supply chain risk management

PurposeThe purpose of this paper is to develop and operationalize a process for prioritizing supply chain risks that is capable of capturing the value at risk (VaR), the maximum loss expected at a given confidence level for a specified timeframe associated with risks within a network setting.Design/...

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Veröffentlicht in:	The International journal of quality & reliability management Jg. 39; H. 1; S. 155 - 175
Hauptverfasser:	Qazi, Abroon, Simsekler, Mecit Can Emre
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bradford Emerald Publishing Limited 14.01.2022 Emerald Group Publishing Limited
Schlagworte:	Algorithms Belief networks Confidence intervals Decision making Expected utility Expected values Risk assessment Risk exposure Risk management Simulation Statistical analysis Supply chains Risk metrics Value at risk Risk appetite Supply chain risks Worst Expected Best method Bayesian belief networks
ISSN:	0265-671X, 1758-6682
Online-Zugang:	Volltext
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