A new resilience measure for supply networks with the ripple effect considerations: a Bayesian network approach.
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| Title: | A new resilience measure for supply networks with the ripple effect considerations: a Bayesian network approach. |
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| Authors: | Hosseini, Seyedmohsen1, Ivanov, Dmitry2, divanov@hwr-berlin.de |
| Source: | Annals of Operations Research; Dec2022, Vol. 319 Issue 1, p581-607, 27p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 160764383 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A new resilience measure for supply networks with the ripple effect considerations: a Bayesian network approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hosseini%2C+Seyedmohsen%22">Hosseini, Seyedmohsen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ivanov%2C+Dmitry%22">Ivanov, Dmitry</searchLink><relatesTo>2</relatesTo>, <i>divanov@hwr-berlin.de</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>; Dec2022, Vol. 319 Issue 1, p581-607, 27p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=160764383 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10479-019-03350-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 581 Titles: – TitleFull: A new resilience measure for supply networks with the ripple effect considerations: a Bayesian network approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hosseini, Seyedmohsen – PersonEntity: Name: NameFull: Ivanov, Dmitry IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 12 Text: Dec2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 02545330 Numbering: – Type: volume Value: 319 – Type: issue Value: 1 Titles: – TitleFull: Annals of Operations Research Type: main |
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