Pages that link to "Item:Q319164"

The following pages link to An analytical framework for supply network risk propagation: a Bayesian network approach (Q319164):

Displaying 21 items.

• Performance evaluation of supply chain networks with assembly structure under system disruptions (Q339676) (← links)
• Causal network learning with non-invertible functional relationships (Q830445) (← links)
• Predicting hidden links in supply networks (Q1646525) (← links)
• A dynamic network flow model for interdependent infrastructure and supply chain networks with uncertain asset operability (Q1691704) (← links)
• Research of vulnerability for fresh agricultural-food supply chain based on Bayesian network (Q1721300) (← links)
• Exploring dependency based probabilistic supply chain risk measures for prioritising interdependent risks and strategies (Q1751789) (← links)
• Managing supply chain disruption risks: a game-theoretical approach (Q1753759) (← links)
• Ripple effect in the supply chain network: forward and backward disruption propagation, network health and firm vulnerability (Q2030683) (← links)
• Risk management of supply chain disruptions: an epidemic modeling approach (Q2079414) (← links)
• Multi-criteria risk classification to enhance complex supply networks performance (Q2085485) (← links)
• Evaluating the performance of supply chain risk mitigation strategies using network data envelopment analysis (Q2160506) (← links)
• Supply chain risk propagation model considering the herd mentality mechanism and risk preference (Q2162060) (← links)
• Quality risk propagation of complex product collaborative manufacturing supply chain network based on CN and SoV (Q2657427) (← links)
• Evaluating the criticality of the product development project portfolio network from the perspective of risk propagation (Q2669391) (← links)
• (Q3194341) (← links)
• A signomial programming-based approach for multi-echelon supply chain disruption risk assessment with robust dynamic Bayesian network (Q6065614) (← links)
• Supply chain risk network value at risk assessment using Bayesian belief networks and Monte Carlo simulation (Q6099446) (← links)
• Risks to big data analytics and blockchain technology adoption in supply chains (Q6167932) (← links)
• A hybrid forecasting model to predict the duration and cost performance of projects with Bayesian networks (Q6554647) (← links)
• Explainable AI for operational research: a defining framework, methods, applications, and a research agenda (Q6572853) (← links)
• Explainability through uncertainty: trustworthy decision-making with neural networks (Q6572867) (← links)