View in EDS HTML Full Text PDF Full Text

Dynamic recovery policies for time-critical supply chains under conditions of ripple effect.

Saved in:
Bibliographic Details
Title: Dynamic recovery policies for time-critical supply chains under conditions of ripple effect.
Authors: Ivanov, Dmitry1 (AUTHOR) divanov@hwr-berlin.de, Sokolov, Boris2,3 (AUTHOR), Solovyeva, Inna4 (AUTHOR), Dolgui, Alexandre5 (AUTHOR), Jie, Ferry6 (AUTHOR)
Source: International Journal of Production Research. Dec2016, Vol. 54 Issue 23, p7245-7258. 14p. 2 Diagrams, 4 Charts, 4 Maps.
Subjects: Supply chain disruptions, Ripple (Computer network protocol), Dairy industry, Mathematical optimization, Industrial policy
Geographic Terms: Australia
Abstract: We consider time-critical supply chains (SCs) in the Australia dairy industry and recovery policies in the presence of the ripple effect. Ripple effect is the impact of a disruption on SC economic performance and disruption-based scope of changes needed in the supply structures and parameters to preserve the resilience. First, we describe the ripple effect in general and one example of the ripple effect in the dairy SC in Australia. Second, we present a model for reactive recovery policies in the dairy SC under conditions of the ripple effect and exemplify them on a simulation example. The results of this study can be used in future for comparing proactive and reactive approaches in tackling the ripple effect from resilience and flexibility views. [ABSTRACT FROM PUBLISHER]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 118941091
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Dynamic recovery policies for time-critical supply chains under conditions of ripple effect.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ivanov%2C+Dmitry%22">Ivanov, Dmitry</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> divanov@hwr-berlin.de</i><br /><searchLink fieldCode="AR" term="%22Sokolov%2C+Boris%22">Sokolov, Boris</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Solovyeva%2C+Inna%22">Solovyeva, Inna</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dolgui%2C+Alexandre%22">Dolgui, Alexandre</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jie%2C+Ferry%22">Jie, Ferry</searchLink><relatesTo>6</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Dec2016, Vol. 54 Issue 23, p7245-7258. 14p. 2 Diagrams, 4 Charts, 4 Maps.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Supply+chain+disruptions%22">Supply chain disruptions</searchLink><br /><searchLink fieldCode="DE" term="%22Ripple+%28Computer+network+protocol%29%22">Ripple (Computer network protocol)</searchLink><br /><searchLink fieldCode="DE" term="%22Dairy+industry%22">Dairy industry</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+policy%22">Industrial policy</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Australia%22">Australia</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: We consider time-critical supply chains (SCs) in the Australia dairy industry and recovery policies in the presence of the ripple effect. Ripple effect is the impact of a disruption on SC economic performance and disruption-based scope of changes needed in the supply structures and parameters to preserve the resilience. First, we describe the ripple effect in general and one example of the ripple effect in the dairy SC in Australia. Second, we present a model for reactive recovery policies in the dairy SC under conditions of the ripple effect and exemplify them on a simulation example. The results of this study can be used in future for comparing proactive and reactive approaches in tackling the ripple effect from resilience and flexibility views. [ABSTRACT FROM PUBLISHER]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=118941091
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/00207543.2016.1161253
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 7245
    Subjects:
      – SubjectFull: Supply chain disruptions
        Type: general
      – SubjectFull: Ripple (Computer network protocol)
        Type: general
      – SubjectFull: Dairy industry
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Industrial policy
        Type: general
      – SubjectFull: Australia
        Type: general
    Titles:
      – TitleFull: Dynamic recovery policies for time-critical supply chains under conditions of ripple effect.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ivanov, Dmitry
      – PersonEntity:
          Name:
            NameFull: Sokolov, Boris
      – PersonEntity:
          Name:
            NameFull: Solovyeva, Inna
      – PersonEntity:
          Name:
            NameFull: Dolgui, Alexandre
      – PersonEntity:
          Name:
            NameFull: Jie, Ferry
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2016
              Type: published
              Y: 2016
          Identifiers:
            – Type: issn-print
              Value: 00207543
          Numbering:
            – Type: volume
              Value: 54
            – Type: issue
              Value: 23
          Titles:
            – TitleFull: International Journal of Production Research
              Type: main
ResultId 1