Predictive Process Monitoring for Prediction of Remaining Cycle Time in Automated Manufacturing: A Case Study

Bibliographic Details
Title: Predictive Process Monitoring for Prediction of Remaining Cycle Time in Automated Manufacturing: A Case Study
Authors: Friederich, Jonas, Lindelov, Jonas Kristoffer, Lazarova-Molnar, Sanja
Source: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA) Emerging Technologies and Factory Automation (ETFA), 2023 IEEE 28th International Conference on. :1-8 Sep, 2023
Relation: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)
Database: IEEE Xplore Digital Library
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://login.libproxy.scu.edu/login?url=https://ieeexplore.ieee.org/document/10275361
    Name: EDS - IEEE (s8985755)
    Category: fullText
    Text: Check IEEE Xplore for full text
    MouseOverText: Check IEEE Xplore for full text. A new window will open.
  – Url: https://resolver.ebsco.com/c/xy5jbn/result?sid=EBSCO:edseee&genre=book&issn=19460759&ISBN=9798350339918&volume=&issue=&date=&spage=1&pages=1-8&title=2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA), Emerging Technologies and Factory Automation (ETFA), 2023 IEEE 28th International Conference on&atitle=Predictive%20Process%20Monitoring%20for%20Prediction%20of%20Remaining%20Cycle%20Time%20in%20Automated%20Manufacturing%3A%20A%20Case%20Study&aulast=Friederich%2C%20Jonas&id=DOI:10.1109/ETFA54631.2023.10275361
    Name: Full Text Finder (for New FTF UI) (s8985755)
    Category: fullText
    Text: Find It @ SCU Libraries
    MouseOverText: Find It @ SCU Libraries
Header DbId: edseee
DbLabel: IEEE Xplore Digital Library
An: edseee.10275361
RelevancyScore: 1095
AccessLevel: 2
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 1095.25744628906
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Predictive Process Monitoring for Prediction of Remaining Cycle Time in Automated Manufacturing: A Case Study
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Friederich%2C+Jonas%22">Friederich, Jonas</searchLink><br /><searchLink fieldCode="AR" term="%22Lindelov%2C+Jonas+Kristoffer%22">Lindelov, Jonas Kristoffer</searchLink><br /><searchLink fieldCode="AR" term="%22Lazarova-Molnar%2C+Sanja%22">Lazarova-Molnar, Sanja</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA) Emerging Technologies and Factory Automation (ETFA), 2023 IEEE 28th International Conference on. :1-8 Sep, 2023
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)
PLink https://login.libproxy.scu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edseee&AN=edseee.10275361
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/ETFA54631.2023.10275361
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 1
    Titles:
      – TitleFull: Predictive Process Monitoring for Prediction of Remaining Cycle Time in Automated Manufacturing: A Case Study
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Friederich, Jonas
      – PersonEntity:
          Name:
            NameFull: Lindelov, Jonas Kristoffer
      – PersonEntity:
          Name:
            NameFull: Lazarova-Molnar, Sanja
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 12
              M: 09
              Type: published
              Y: 2023
          Identifiers:
            – Type: isbn-print
              Value: 9798350339918
            – Type: isbn-print
              Value: 9798350339901
            – Type: issn-print
              Value: 19460759
            – Type: issn-locals
              Value: edseee.IEEEConferenc
          Titles:
            – TitleFull: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA), Emerging Technologies and Factory Automation (ETFA), 2023 IEEE 28th International Conference on
              Type: main
ResultId 1