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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Vydané v:	The International journal of quality & reliability management Ročník 39; číslo 1; s. 155 - 175
Hlavní autori:	Qazi, Abroon, Simsekler, Mecit Can Emre
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bradford Emerald Publishing Limited 14.01.2022 Emerald Group Publishing Limited
Predmet:	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
On-line prístup:	Získať plný text
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