• DocumentCode
    678663
  • Title

    Convertibility and Conversion Algorithm of Well-Structured Workflow Net to Process Tree

  • Author

    Bin Ahmadon, Mohd Anuaruddin ; Yamaguchi, Satarou

  • Author_Institution
    Fac. of Eng., Yamaguchi Univ., Ube, Japan
  • fYear
    2013
  • fDate
    4-6 Dec. 2013
  • Firstpage
    122
  • Lastpage
    127
  • Abstract
    A workflow net is a Petri net for modeling and analyzing a workflow. A process tree has been proposed as a representational bias of a workflow net and enabled us to grasp the structure of actions routing such as sequence, choice and parallel in the workflow net. The advantage of process trees enables us to grasp the structure of action routing such as sequence, choice, and parallel in a given workflow net. Unfortunately, workflow nets are not always convertible to process trees. In this paper, we discuss the convertibility and conversion of workflow nets to process trees. We first proposed a necessary and sufficient condition on convertibility, i.e. a workflow net is convertible to a process tree iff it is acyclic, bridge-less, and well-structured. Next, based on the condition we constructed an algorithm to convert the workflow net to a process tree. Then we proposed an application of the conversion algorithm, which allows us to calculate the state number of the workflow net.
  • Keywords
    Petri nets; trees (mathematics); Petri net; action routing; acyclic workflow net; bridge-less workflow net; conversion algorithm; convertibility algorithm; process tree; representational bias; sufficient condition; well-structured workflow net; workflow net conversion; workflow net convertibility; Analytical models; Artificial neural networks; Bridge circuits; Educational institutions; Nickel; Petri nets; Routing; Petri net; conversion; convertibility; process tree; workflow net;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Networking (CANDAR), 2013 First International Symposium on
  • Conference_Location
    Matsuyama
  • Print_ISBN
    978-1-4799-2795-1
  • Type

    conf

  • DOI
    10.1109/CANDAR.2013.24
  • Filename
    6726886