… and assessing interdependencies between critical infrastructures using Bayesian network: A case study of inland waterway port and surrounding supply chain network
… supply chain network through the lens of the interdependency concept. The innovation of
this study is that it uses Bayesian Network (BN… of BN as a risk assessment and decision-making …
this study is that it uses Bayesian Network (BN… of BN as a risk assessment and decision-making …
Leveraging a Bayesian network approach to model and analyze supplier vulnerability to severe weather risk: A case study of the US pharmaceutical supply chain …
JM Lawrence, NUI Hossain, R Jaradat… - … Journal of Disaster Risk …, 2020 - Elsevier
… Demonstrate the efficacy of the proposed model as a risk assessment tool for identifying
the supply chain vulnerabilities that need to be prioritized to minimize pharmaceutical …
the supply chain vulnerabilities that need to be prioritized to minimize pharmaceutical …
Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review
S Hosseini, D Ivanov - Expert systems with applications, 2020 - Elsevier
… supply chain (SC) resilience and risk analysis. As a result, there is an acute need to review
… SC uncertainty, an extensive review on their application to SC risk and resilience is lacking. …
… SC uncertainty, an extensive review on their application to SC risk and resilience is lacking. …
Risk assessment of new energy vehicle supply chain based on variable weight theory and cloud model: A case study in China
Q Yan, M Zhang, W Li, G Qin - Sustainability, 2020 - mdpi.com
… The development of information technology makes the NEV supply chain network
worldwide, thus unreasonable supplier selection will cause a domino effect in the subsequent …
worldwide, thus unreasonable supplier selection will cause a domino effect in the subsequent …
Research on supply chain financial risk assessment based on blockchain and fuzzy neural networks
Y Wang - Wireless Communications and Mobile Computing, 2021 - Wiley Online Library
… establishes a credit risk assessment model applicable to Internet supply chain finance. The
… the fuzzy neural network model, and then the fuzzy neural network model analyzes and …
… the fuzzy neural network model, and then the fuzzy neural network model analyzes and …
A multi-objective optimization approach for green and resilient supply chain network design: a real-life case study
… In this study, a realistic case study is addressed to configure a supply chain network structure
of a newcomer manufacturer of medical devices. This study considers a comprehensive …
of a newcomer manufacturer of medical devices. This study considers a comprehensive …
A data mining-based framework for supply chain risk management
… overload in supply chain networks drive organizations to … , properties of a risk analysis and
management team, conversion of the … of the case study. The model was tested using a single …
management team, conversion of the … of the case study. The model was tested using a single …
Assessment of pre and post-disaster supply chain resilience based on network structural parameters with CVaR as a risk measure
… the supply chain under such severe risks. In the present study, the worst-case resilience
of supply chain networks … by using the risk measure known as Conditional Value at Risk (CVaR). …
of supply chain networks … by using the risk measure known as Conditional Value at Risk (CVaR). …
Closed-loop supply chain network design and modelling under risks and demand uncertainty: an integrated robust optimization approach
… 5.2 Case study insights The product examined in this case study is a table, which includes
computer tables, dressing tables, coffee tables, office tables, corner tables, center tables, …
computer tables, dressing tables, coffee tables, office tables, corner tables, center tables, …