• DocumentCode
    2440716
  • Title

    Fuzzy Continuous Resource Allocation Mechanisms in Workflow Management Systems

  • Author

    Jeske, Joslaine Cristina ; Julia, Stephane ; Valette, Robert

  • Author_Institution
    Dept. de Cienclas da Comput., Univ. Fed. de Goias, Jatai, Brazil
  • fYear
    2009
  • fDate
    5-9 Oct. 2009
  • Firstpage
    236
  • Lastpage
    251
  • Abstract
    In this paper, an approach based on a fuzzy hybrid Petri net model is proposed to solve the resource allocation problem of workflow management systems. Initially, an ordinary Petri net model is used to show the main activities of the system and the different routings of the workflow process. Hybrid resource allocation mechanisms are modeled by hybrid Petri net with discrete transitions where discrete resources represent equipment and continuous resources represent employees availability. To express in a more realistic way the resource allocation mechanisms when human behavior is considered, fuzzy sets delimited by possibility distributions of the triangular form are associated with the marking of the places which represent human availability. New firing rules and the fuzzy marking evolution of the new model are defined.
  • Keywords
    Petri nets; fuzzy set theory; resource allocation; workflow management software; continuous resources; discrete resources; discrete transitions; firing rules; fuzzy continuous resource allocation mechanisms; fuzzy hybrid Petri net model; fuzzy marking evolution; fuzzy sets; human behavior; workflow management systems; workflow process; Availability; Business process re-engineering; Context modeling; Data warehouses; Fuzzy systems; Humans; Resource management; Routing; Software engineering; Workflow management software; Fuzzy Set; Petri Nets; Possibility Theory; Workflow Management Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. SBES '09. XXIII Brazilian Symposium on
  • Conference_Location
    Fortaleza, Ceara
  • Print_ISBN
    978-1-4244-5024-4
  • Electronic_ISBN
    978-0-7695-3844-0
  • Type

    conf

  • DOI
    10.1109/SBES.2009.17
  • Filename
    5336081