Nov 24, 2023 · Dynamic Bayesian network (DBN), combining with probability intervals, is a valid tool to estimate the risk of disruptions propagating along the ...
In doing so we focus in particular on the variety of parameters, analytical approaches, and characteristics of multi-criteria decision-making techniques for ...
A novel and general robust DBN is, for the first time, proposed in this work to assess the worst-case oriented supply chain disruption risk under ripple effect.
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A Bi-objective Robust Dynamic Bayesian Network Method for Supply Chain Performance Evaluation. M. Liu, Y. Ding, F. Chu, T. Lin, and C. Chu. ICNSC, page 1-6.
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Mar 23, 2023 · Dynamic Bayesian network (DBN), combining with proba- bility intervals, is a valid tool to estimate the risk of disruptions propagat- ing along ...
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A new robust dynamic Bayesian network approach for disruption risk ...
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Dynamic Bayesian network (DBN) theory provides a valid tool to estimate the risk of disruptions, propagating along the supply chain (SC), i.e. the ripple ...
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A Bi-objective Robust Dynamic Bayesian Network Method for Supply Chain Performance Evaluation. ICNSC 2023: 1-6. [c28]. view. electronic edition via DOI ...
Abstract: The text dissects the exploration of employing dynamic Bayesian networks (DBNs) for reliably assessing the risk posed to supply chain networks.
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A Bayesian Network Method for Humanitarian Supply Chain ...
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A new robust dynamic Bayesian network approach for disruption risk assessment under the supply chain ripple effect ... Int. J. Prod. Res. 2021. TLDR.
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Abidi, Humanitarian supply chain performance management: a systematic literature review. Supply Chain Management, An International Journal, № 19, с.
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