Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review

S Hosseini, D Ivanov - Expert systems with applications, 2020 - Elsevier
In the broad sense, the Bayesian networks (BN) are probabilistic graphical models that
possess unique methodical features to model dependencies in complex networks, such as …
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[HTML][HTML] Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review

S Hosseini, D Ivanov - Expert Systems with Applications, 2020 - ncbi.nlm.nih.gov
In the broad sense, the Bayesian networks (BN) are probabilistic graphical models that
possess unique methodical features to model dependencies in complex networks, such as …
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[PDF][PDF] Bayesian Networks for Supply Chain Risk, Resilience and Ripple Effect Analysis: A Literature Review

S Hosseini, D Ivanov - researchgate.net
In the broad sense, the Bayesian networks (BN) are probabilistic graphical models that
possess unique methodical features to model dependencies in complex networks, such as …

Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review

S Hosseini, D Ivanov - 2020 - expeditiorepositorio.utadeo.edu.co
In the broad sense, the Bayesian networks (BN) are probabilistic graphical models that
possess unique methodical features to model dependencies in complex networks, such as …

Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review

S Hosseini, D Ivanov - Expert systems with applications, 2020 - pubmed.ncbi.nlm.nih.gov
In the broad sense, the Bayesian networks (BN) are probabilistic graphical models that
possess unique methodical features to model dependencies in complex networks, such as …

Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review.

S Hosseini, D Ivanov - Expert Systems with Applications, 2020 - europepmc.org
In the broad sense, the Bayesian networks (BN) are probabilistic graphical models that
possess unique methodical features to model dependencies in complex networks, such as …

Bayesian Networks For Supply Chain Risk, Resilience, and Ripple Effect Analysis

S Hosseini, D Ivanov - Expert Systems With Applications, 2020 - aquila.usm.edu
In the broad sense, the Bayesian networks (BN) are probabilistic graphical models that
possess unique methodical features to model dependencies in complex networks, such as …

Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review

S Hosseini, D Ivanov - Expert systems with applications, 2020 - pubmed.ncbi.nlm.nih.gov
In the broad sense, the Bayesian networks (BN) are probabilistic graphical models that
possess unique methodical features to model dependencies in complex networks, such as …