• DocumentCode
    440436
  • Title

    Using event-based process modelling to support six sigma quality

  • Author

    Costello, Claire ; Molloy, Owen ; Lyons, Gerard ; Duggan, Jim

  • Author_Institution
    Dept. of Inf. Technol., Nat. Univ. of Ireland, Galway, Ireland
  • fYear
    2005
  • fDate
    22-26 Aug. 2005
  • Firstpage
    926
  • Lastpage
    930
  • Abstract
    Collaborative and operational process visibility requires a process performance monitoring framework that provides traceability in near real-time. Process variability produces non-conforming or defective products and services. The focus of a six sigma quality programme is to reduce variability using statistical methods to highlight variance. Business interactions may be modelled using an event-based process model. In addition, business object information may be packaged with enterprise events. Process models lack the performance and quality information necessary for complete process lifecycle management and portability across disparate process management systems. This paper will describe the combination of process model, event and defect information to support a six sigma reporting mechanism for achieving process transparency. A proposition to supplement current process definition languages with such performance information is also included.
  • Keywords
    business data processing; product life cycle management; six sigma (quality); business object information; collaborative process; event-based process modelling; operational process; process lifecycle management; process performance monitoring; six sigma quality; statistical method; Collaboration; Current supplies; Information technology; Measurement; Monitoring; Packaging; Quality management; Six sigma; Statistical analysis; Total quality management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-2424-9
  • Type

    conf

  • DOI
    10.1109/DEXA.2005.196
  • Filename
    1508392