Zobrazit v EDS

Real-Time data-driven average active period method for bottleneck detection

Uloženo v:
Podrobná bibliografie
Název: Real-Time data-driven average active period method for bottleneck detection
Autoři: Subramaniyan, Mukund, 1989, Skoogh, Anders, 1980, Gopalakrishnan, Maheshwaran, 1987, Hanna, A.
Zdroj: StreaMod - Effektiv modellering och beslutsstöd för faktabaserad produktionsutveckling International Journal of Design and Nature and Ecodynamics. 11(3):428-437
Témata: Bottleneck detection, Average active duration, Maintenance, Data-driven algorithm, Production system
Popis: Prioritising improvement and maintenance activities is an important part of the production management and development process. Companies need to direct their efforts to the production constraints (bottlenecks) to achieve higher productivity. The first step is to identify the bottlenecks in the production system. A majority of the current bottleneck detection techniques can be classified into two categories, based on the methods used to develop the techniques: Analytical and simulation based. Analytical methods are difficult to use in more complex multi-stepped production systems, and simulation-based approaches are time-consuming and less flexible with regard to changes in the production system. This research paper introduces a real-Time, data-driven algorithm, which examines the average active period of the machines (the time when the machine is not waiting) to identify the bottlenecks based on real-Time shop floor data captured by Manufacturing Execution Systems (MES). The method utilises machine state information and the corresponding time stamps of those states as recorded by MES. The algorithm has been tested on a real-Time MES data set from a manufacturing company. The advantage of this algorithm is that it works for all kinds of production systems, including flow-oriented layouts and parallel-systems, and does not require a simulation model of the production system.
Popis souboru: electronic
Přístupová URL adresa: https://research.chalmers.se/publication/244931
http://publications.lib.chalmers.se/records/fulltext/244931/local_244931.pdf
Databáze: SwePub
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://research.chalmers.se/publication/244931#
    Name: EDS - SwePub (s4221598)
    Category: fullText
    Text: View record in SwePub
  – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edsswe&genre=article&issn=17557445&ISBN=&volume=11&issue=3&date=20160101&spage=428&pages=428-437&title=StreaMod - Effektiv modellering och beslutsstöd för faktabaserad produktionsutveckling International Journal of Design and Nature and Ecodynamics&atitle=Real-Time%20data-driven%20average%20active%20period%20method%20for%20bottleneck%20detection&aulast=Subramaniyan%2C%20Mukund&id=DOI:10.2495/DNE-V11-N3-428-437
    Name: Full Text Finder
    Category: fullText
    Text: Full Text Finder
    Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif
    MouseOverText: Full Text Finder
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Subramaniyan%20M
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edsswe
DbLabel: SwePub
An: edsswe.oai.research.chalmers.se.e49dbbfc.3e24.46db.8b35.15fc074924c9
RelevancyScore: 937
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 937.438598632813
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Real-Time data-driven average active period method for bottleneck detection
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Subramaniyan%2C+Mukund%22">Subramaniyan, Mukund</searchLink>, 1989<br /><searchLink fieldCode="AR" term="%22Skoogh%2C+Anders%22">Skoogh, Anders</searchLink>, 1980<br /><searchLink fieldCode="AR" term="%22Gopalakrishnan%2C+Maheshwaran%22">Gopalakrishnan, Maheshwaran</searchLink>, 1987<br /><searchLink fieldCode="AR" term="%22Hanna%2C+A%2E%22">Hanna, A.</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <i>StreaMod - Effektiv modellering och beslutsstöd för faktabaserad produktionsutveckling International Journal of Design and Nature and Ecodynamics</i>. 11(3):428-437
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Bottleneck+detection%22">Bottleneck detection</searchLink><br /><searchLink fieldCode="DE" term="%22Average+active+duration%22">Average active duration</searchLink><br /><searchLink fieldCode="DE" term="%22Maintenance%22">Maintenance</searchLink><br /><searchLink fieldCode="DE" term="%22Data-driven+algorithm%22">Data-driven algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Production+system%22">Production system</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Prioritising improvement and maintenance activities is an important part of the production management and development process. Companies need to direct their efforts to the production constraints (bottlenecks) to achieve higher productivity. The first step is to identify the bottlenecks in the production system. A majority of the current bottleneck detection techniques can be classified into two categories, based on the methods used to develop the techniques: Analytical and simulation based. Analytical methods are difficult to use in more complex multi-stepped production systems, and simulation-based approaches are time-consuming and less flexible with regard to changes in the production system. This research paper introduces a real-Time, data-driven algorithm, which examines the average active period of the machines (the time when the machine is not waiting) to identify the bottlenecks based on real-Time shop floor data captured by Manufacturing Execution Systems (MES). The method utilises machine state information and the corresponding time stamps of those states as recorded by MES. The algorithm has been tested on a real-Time MES data set from a manufacturing company. The advantage of this algorithm is that it works for all kinds of production systems, including flow-oriented layouts and parallel-systems, and does not require a simulation model of the production system.
– Name: Format
  Label: File Description
  Group: SrcInfo
  Data: electronic
– Name: URL
  Label: Access URL
  Group: URL
  Data: <link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/244931" linkWindow="_blank">https://research.chalmers.se/publication/244931</link><br /><link linkTarget="URL" linkTerm="http://publications.lib.chalmers.se/records/fulltext/244931/local_244931.pdf" linkWindow="_blank">http://publications.lib.chalmers.se/records/fulltext/244931/local_244931.pdf</link>
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsswe&AN=edsswe.oai.research.chalmers.se.e49dbbfc.3e24.46db.8b35.15fc074924c9
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.2495/DNE-V11-N3-428-437
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 428
    Subjects:
      – SubjectFull: Bottleneck detection
        Type: general
      – SubjectFull: Average active duration
        Type: general
      – SubjectFull: Maintenance
        Type: general
      – SubjectFull: Data-driven algorithm
        Type: general
      – SubjectFull: Production system
        Type: general
    Titles:
      – TitleFull: Real-Time data-driven average active period method for bottleneck detection
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Subramaniyan, Mukund
      – PersonEntity:
          Name:
            NameFull: Skoogh, Anders
      – PersonEntity:
          Name:
            NameFull: Gopalakrishnan, Maheshwaran
      – PersonEntity:
          Name:
            NameFull: Hanna, A.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2016
          Identifiers:
            – Type: issn-print
              Value: 17557445
            – Type: issn-print
              Value: 17557437
            – Type: issn-locals
              Value: SWEPUB_FREE
            – Type: issn-locals
              Value: CTH_SWEPUB
          Numbering:
            – Type: volume
              Value: 11
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: StreaMod - Effektiv modellering och beslutsstöd för faktabaserad produktionsutveckling International Journal of Design and Nature and Ecodynamics
              Type: main
ResultId 1