View in EDS HTML Full Text PDF Full Text

Explainable artificial intelligence to improve the resilience of perishable product supply chains by leveraging customer characteristics.

Saved in:
Bibliographic Details
Title: Explainable artificial intelligence to improve the resilience of perishable product supply chains by leveraging customer characteristics.
Authors: Jauhar, Sunil Kumar1, sunil.jauhar@iimkashipur.ac.in, Harinath, Susmitha2, susmitha.mbaa20056@iimkashipur.ac.in, Krishnaswamy, Venkataraghavan3, venkat.krishnaswamy@iimkashipur.ac.in, Paul, Sanjoy Kumar4, sanjoy.paul@uts.edu.au
Source: Annals of Operations Research; Nov2025, Vol. 354 Issue 1, p103-142, 40p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189087578
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Explainable artificial intelligence to improve the resilience of perishable product supply chains by leveraging customer characteristics.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Jauhar%2C+Sunil+Kumar%22">Jauhar, Sunil Kumar</searchLink><relatesTo>1</relatesTo>, <i>sunil.jauhar@iimkashipur.ac.in</i><br /><searchLink fieldCode="AU" term="%22Harinath%2C+Susmitha%22">Harinath, Susmitha</searchLink><relatesTo>2</relatesTo>, <i>susmitha.mbaa20056@iimkashipur.ac.in</i><br /><searchLink fieldCode="AU" term="%22Krishnaswamy%2C+Venkataraghavan%22">Krishnaswamy, Venkataraghavan</searchLink><relatesTo>3</relatesTo>, <i>venkat.krishnaswamy@iimkashipur.ac.in</i><br /><searchLink fieldCode="AU" term="%22Paul%2C+Sanjoy+Kumar%22">Paul, Sanjoy Kumar</searchLink><relatesTo>4</relatesTo>, <i>sanjoy.paul@uts.edu.au</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>; Nov2025, Vol. 354 Issue 1, p103-142, 40p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189087578
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10479-024-06348-z
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 40
        StartPage: 103
    Titles:
      – TitleFull: Explainable artificial intelligence to improve the resilience of perishable product supply chains by leveraging customer characteristics.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Jauhar, Sunil Kumar
      – PersonEntity:
          Name:
            NameFull: Harinath, Susmitha
      – PersonEntity:
          Name:
            NameFull: Krishnaswamy, Venkataraghavan
      – PersonEntity:
          Name:
            NameFull: Paul, Sanjoy Kumar
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 02545330
          Numbering:
            – Type: volume
              Value: 354
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Annals of Operations Research
              Type: main
ResultId 1