Supply chain risk network value at risk assessment using Bayesian belief networks and Monte Carlo simulation

Simple item page
dc.contributor.authorQazi, Abroon
dc.contributor.authorSimsekler, Mecit Can Emre
dc.contributor.authorFormaneck, Steven
dc.date.accessioned2022-04-25T12:47:22Z
dc.date.available2022-04-25T12:47:22Z
dc.date.copyright© 2022
dc.date.issued2023-03
dc.identifier.citationQazi, A., Simsekler, M. C. E., & Formaneck, S. (2023). Supply chain risk network value at risk assessment using Bayesian belief networks and monte carlo simulation. Annals of Operations Research, 322(1), 241 - 272. https://doi.org/10.1007/s10479-022-04598-3en_US
dc.identifier.issn02545330
dc.identifier.urihttps://doi.org/10.1007/s10479-022-04598-3
dc.identifier.urihttp://hdl.handle.net/20.500.12519/555
dc.identifier.urihttps://www-proquest-com.ezp.cud.ac.ae/docview/2775851286?pq-origsite=summon
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relationAuthors Affiliations : Qazi, A., School of Business Administration, American University of Sharjah, Sharjah, United Arab Emirates; Simsekler, M.C.E., Department of Industrial and Systems Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates; Formaneck, S., Faculty of Management, Canadian University Dubai, Dubai, United Arab Emirates
dc.relation.ispartofseriesAnnals of Operations Research; Volume 322, Issue 1
dc.rightsLicense to reuse the abstract has been secured from Springer Nature and Copyright Clearance Center.
dc.rights.holderCopyright : © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
dc.subjectBayesian belief networken_US
dc.subjectMonte Carlo simulationen_US
dc.subjectPerformance measuresen_US
dc.subjectRisk metricsen_US
dc.subjectRisk network value at risken_US
dc.subjectSupply chain risk managementen_US
dc.titleSupply chain risk network value at risk assessment using Bayesian belief networks and Monte Carlo simulationen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Access Instruction - 555.pdf
Size:
107.67 KB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Operation and Supply Chain Management