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10.1016/j.eswa.2020.113649 http://scihub22266oqcxt.onion/10.1016/j.eswa.2020.113649 C7305519!7305519!32834558     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Expert+Syst+Appl 2020 ; 161 (ä): 113649 Nephropedia Template TP {{tp|p=32834558|t=2020. Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review |pdf=|usr=}}{{32834558}} gab.com Text Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review JO: Expert Syst Appl http://www.kidney.de/pget.php?&tw=1&pmid=32834558 #FOAvip ?We presented the first review of application of BN in SC risk and resilience.?We analyzed reviewed journal papers using network analysis and clustering analysis.?The gaps and future research gaps are identified and discussed. Twit Text FOAVip Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review ????Expert Syst Appl http://www.kidney.de/pget.php?&tw=1&pmid=32834558 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32834558 #FOAvip English Wikipedia <ref>{{Cite pmid|32834558}}</ref> Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review #MMPMID32834558 Hosseini S; Ivanov D Expert Syst Appl 2020[Dec]; 161 (ä): 113649 PMID32834558show ga ?We presented the first review of application of BN in SC risk and resilience.?We analyzed reviewed journal papers using network analysis and clustering analysis.?The gaps and future research gaps are identified and discussed. äBayesian networks for supply chain risk, resilience and ripple effect (epmc).pdf DeepDyve Pubget Overpricing