View in EDS HTML Full Text PDF Full Text

A two stage statistical framework for cold start spare part demand forecasting.

Saved in:
Bibliographic Details
Title: A two stage statistical framework for cold start spare part demand forecasting.
Authors: B SN; Department of Mechanical Engineering (MED), Indian Institute of Information Technology Design and Manufacturing Kurnool (IIITDM Kurnool), Kurnool, Andhra Pradesh, India.; Ford Motor Private Limited, Ford Global Technology Business Center, Chennai, Tamil Nadu, India., B VSR; Department of Mechanical Engineering (MED), Indian Institute of Information Technology Design and Manufacturing Kurnool (IIITDM Kurnool), Kurnool, Andhra Pradesh, India., Sastry C C; Department of Mechanical Engineering (MED), Indian Institute of Information Technology Design and Manufacturing Kurnool (IIITDM Kurnool), Kurnool, Andhra Pradesh, India., Salunkhe S; Department of Mechanical Engineering, Gazi University, Ankara, Turkey., Cep R; Department of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, Ostrava, Czech Republic., Jitpichitchai S; Ford Sales Services (Thailand) Co., Ltd., Bangkok, Thailand.
Source: PloS one [PLoS One] 2026 Jun 16; Vol. 21 (6), pp. e0350729. Date of Electronic Publication: 2026 Jun 16 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42302088
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A two stage statistical framework for cold start spare part demand forecasting.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22B+SN%22">B SN</searchLink>; Department of Mechanical Engineering (MED), Indian Institute of Information Technology Design and Manufacturing Kurnool (IIITDM Kurnool), Kurnool, Andhra Pradesh, India.; Ford Motor Private Limited, Ford Global Technology Business Center, Chennai, Tamil Nadu, India.<br /><searchLink fieldCode="AU" term="%22B+VSR%22">B VSR</searchLink>; Department of Mechanical Engineering (MED), Indian Institute of Information Technology Design and Manufacturing Kurnool (IIITDM Kurnool), Kurnool, Andhra Pradesh, India.<br /><searchLink fieldCode="AU" term="%22Sastry+C+C%22">Sastry C C</searchLink>; Department of Mechanical Engineering (MED), Indian Institute of Information Technology Design and Manufacturing Kurnool (IIITDM Kurnool), Kurnool, Andhra Pradesh, India.<br /><searchLink fieldCode="AU" term="%22Salunkhe+S%22">Salunkhe S</searchLink>; Department of Mechanical Engineering, Gazi University, Ankara, Turkey.<br /><searchLink fieldCode="AU" term="%22Cep+R%22">Cep R</searchLink>; Department of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, Ostrava, Czech Republic.<br /><searchLink fieldCode="AU" term="%22Jitpichitchai+S%22">Jitpichitchai S</searchLink>; Ford Sales Services (Thailand) Co., Ltd., Bangkok, Thailand.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 Jun 16; Vol. 21 (6), pp. e0350729. <i>Date of Electronic Publication: </i>2026 Jun 16 (<i>Print Publication: </i>2026).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42302088
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pone.0350729
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e0350729
    Titles:
      – TitleFull: A two stage statistical framework for cold start spare part demand forecasting.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: B SN
      – PersonEntity:
          Name:
            NameFull: B VSR
      – PersonEntity:
          Name:
            NameFull: Sastry C C
      – PersonEntity:
          Name:
            NameFull: Salunkhe S
      – PersonEntity:
          Name:
            NameFull: Cep R
      – PersonEntity:
          Name:
            NameFull: Jitpichitchai S
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 16
              M: 06
              Text: 2026 Jun 16
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1932-6203
          Numbering:
            – Type: volume
              Value: 21
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: PloS one
              Type: main
ResultId 1