Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review.
第一作者:
Seyedmohsen,Hosseini
第一单位:
Industrial Engineering Technology, University of Southern Mississippi, Long Beach, MS, USA.
作者:
关键词
BN, Bayesian NetworkBP, Backward PropagationBayesian networkCPT, Conditional Probability TableDAG, Directed Acyclic GraphDBN, Dynamic Bayesian NetworkEU, Expected UtilityFMEA, Failure Mode Effects & AnalysisFP, Forward PropagationJPD, Joint Probability DistributionMCS, Monte Carlo SimulationMF, Manufacturing FacilityMachine learningOEM, Original Equipment ManufacturerRipple effectSC, Supply ChainSCRM, Supply Chain Risk ManagementSupply chain managementSupply chain resilienceTEU, Total Expected Utility
DOI
10.1016/j.eswa.2020.113649
PMID
32834558
发布时间
2023-11-03
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