Exploring dependency based probabilistic supply chain risk measures for prioritising interdependent risks and strategies

DOI10.1016/j.ejor.2016.10.023zbMath1394.90123OpenAlexW2538516665MaRDI QIDQ1751789

Alex Dickson, Şule Önsel Ekici, Abroon Qazi, John M. Quigley

Publication date: 25 May 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://strathprints.strath.ac.uk/58145/1/Qazi_etal_EJOR_2016_exploring_dependency_based_probabilistic_supply_chain_risk_measures.pdf

zbMATH Keywords

risk measuresBayesian belief networkssupply chain risk managementfailure modes and effects analysisrisk mitigation strategies

Mathematics Subject Classification ID

Cooperative games (91A12) Applications of game theory (91A80) Management decision making, including multiple objectives (90B50) Transportation, logistics and supply chain management (90B06) Deterministic network models in operations research (90B10) Individual preferences (91B08)

Related Items (4)

The impact of firm heterogeneity and awareness in modeling risk propagation on multiplex networks ⋮ Supply chain risk network value at risk assessment using Bayesian belief networks and Monte Carlo simulation ⋮ Revenue distribution of hybrid channel supply chain based on modified Shapley value with cost ⋮ Ripple effect in the supply chain network: forward and backward disruption propagation, network health and firm vulnerability

Cites Work

• Unnamed Item
• Systemic risk elicitation: using causal maps to engage stakeholders and build a comprehensive view of risks
• An analytical framework for supply network risk propagation: a Bayesian network approach
• Quantitative models for managing supply chain risks: a review
• A Model of Reference-Dependent Preferences*
• Bayesian Networks and Decision Graphs
• Prospect Theory: An Analysis of Decision under Risk
• Bayesian Networks and Influence Diagrams

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