• DocumentCode
    2976599
  • Title

    A resource based formal methodology to detect non-conformance in processes

  • Author

    Thompson, Sean ; Torabi, Torab

  • Author_Institution
    Comput. Sci. Dept., La Trobe Univ., Melbourne, VIC
  • fYear
    2008
  • fDate
    26-29 Feb. 2008
  • Firstpage
    198
  • Lastpage
    203
  • Abstract
    The methodology described in this paper seeks not so much to break away from the other generic, broad methodologies presented in the literature thus far, but rather to apply our concept to a small and easier aspect of the process - resources. By applying our model to just process resources, we can keep it a lot simpler and easier to understand. Having said that, our methodology still remains generic and applicable to processes across all domains instead of being targeted at one, like manufacturing or software engineering the way most other presented models do. The model we describe here is specifically designed to detect instances of non-conformance between a ldquoprescribedrdquo process and its ldquoobservedrdquo process counterpart by structuring the data of the two and then making comparisons. A mathematically formal model is presented with a small illustrative example of how it can be usefully applied.
  • Keywords
    software engineering; process resources; resource-based formal methodology; software engineering; Computer science; Ecosystems; Fuzzy logic; Fuzzy set theory; Manufacturing processes; Mathematical model; Software engineering; Virtual manufacturing; process deviation; process non-conformance; process resources; resource deviation; resource non-conformance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Ecosystems and Technologies, 2008. DEST 2008. 2nd IEEE International Conference on
  • Conference_Location
    Phitsanulok
  • Print_ISBN
    978-1-4244-1489-5
  • Electronic_ISBN
    978-1-4244-1490-1
  • Type

    conf

  • DOI
    10.1109/DEST.2008.4635184
  • Filename
    4635184