• DocumentCode
    2855429
  • Title

    iDiagnosis & prognosis for supporting of manufacture

  • Author

    Zhang, DanHong ; Zhou, Jun-Hong ; Arogeti, Shai Avraham ; Luo, Ming ; Tay, Bertrand ; Jiang, Xin

  • Author_Institution
    Singapore Inst. of Manuf. Technol., Singapore, Singapore
  • fYear
    2009
  • fDate
    23-26 June 2009
  • Firstpage
    638
  • Lastpage
    643
  • Abstract
    Manufacturing shop floor dynamics such as machine performance degradation or breakdown will affect the execution of planned production schedules. An intelligent shop floor is able to react to changes in a positive way. To give the early warning of the system/equipment health conditions and mission execution capability to the supervisory control will improve the productivity and efficiency of the shop floor. This paper presents a new concept called iDiagnosis & Prognosis - an intelligent diagnosis, prognosis, manufacturing system condition and mission execution capability assessment system. It focuses on the investigation of system health condition indicator, generic diagnosis & prognosis information structure and system framework to effectively support dynamic manufacturing management. The system functions, components and the integration issues in the Service Oriented Architecture (SOA) is discussed. The prototype system is introduced and the effectiveness of the proposed framework is evaluated.
  • Keywords
    manufacturing systems; software architecture; SOA; Service Oriented Architecture; dynamic manufacturing management support system; iDiagnosis & Prognosis; intelligent shop floor; machine performance degradation; manufacturing shop floor dynamic; mission execution capability; supervisory control; system and equipment health condition; Degradation; Dynamic scheduling; Electric breakdown; Job shop scheduling; Machine intelligence; Manufacturing; Production; Productivity; Service oriented architecture; Supervisory control; SOA; diagnosis; health condition; prognosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics, 2009. INDIN 2009. 7th IEEE International Conference on
  • Conference_Location
    Cardiff, Wales
  • ISSN
    1935-4576
  • Print_ISBN
    978-1-4244-3759-7
  • Electronic_ISBN
    1935-4576
  • Type

    conf

  • DOI
    10.1109/INDIN.2009.5195877
  • Filename
    5195877