• DocumentCode
    2376324
  • Title

    Supporting manufacturing design by analytics, continuous collaborative process improvement enabled by the advanced manufacturing analytics platform

  • Author

    Gröger, Christoph ; Niedermann, Florian ; Schwarz, Holger ; Mitschang, Bernhard

  • Author_Institution
    Inst. of Parallel & Distrib. Syst., Univ. of Stuttgart, Stuttgart, Germany
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    793
  • Lastpage
    799
  • Abstract
    The manufacturing industry is faced with global competition making efficient, effective and continuously improved manufacturing processes a critical success factor. Yet, media discontinuities, the use of isolated analysis methods on local data sets as well as missing means for sharing analysis results cause a collaborative gap in Manufacturing Process Management that prohibits continuous process improvement. To address this challenge, this paper proposes the Advanced Manufacturing Analytics (AdMA) Platform that bridges the gap by integrating operational and process manufacturing data, defining a repository for analysis results and providing indication-based and pattern-based optimization techniques. Both the conceptual architecture underlying the platform as well as its current implementation are presented in this paper.
  • Keywords
    data mining; groupware; manufacturing industries; production engineering computing; AdMA; advanced manufacturing analytics platform; collaborative gap; continuous collaborative process improvement; data mining; global competition; isolated analysis methods; manufacturing design; manufacturing industry; manufacturing process management; pattern-based optimization techniques; Design automation; Job shop scheduling; Manufacturing processes; Processor scheduling; Analytics; Data Mining; Manufacturing; Process Management; Process Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design (CSCWD), 2012 IEEE 16th International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4673-1211-0
  • Type

    conf

  • DOI
    10.1109/CSCWD.2012.6221911
  • Filename
    6221911