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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shuxia Li Haiping Zhu |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Bus., East China Univ. of Sci. & Technol., Shanghai (Shuxia Li) |
| Abstract | During the life cycle of business process management, the quantitative analysis of the time performance measure is pivotal to guarantee the validity of process model and to improve its quality. Based on the characteristic of management processes and the assumption that the processing time of activities is either zero or a stochastic variable obeying the exponential distribution, the generalized stochastic workflow net model of the business process is constructed, which facilitates the analysis of time performance through the theories on generalized stochastic Petri net and Markov chain. Then the computational formula of the average flow time of workflow is deduced. Finally, a case study is given, and the computational value is compared with that of simulation. The test shows that these two results are almost identical. |
| Starting Page | 1040 |
| Ending Page | 1044 |
| File Size | 119671 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424421831 |
| DOI | 10.1109/ICINFA.2008.4608152 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Analytical models Firing Computational modeling Biological system modeling Generalized Stochastic Workflow Net Stochastic processes Performance analysis Business process management Modeling Business |
| Content Type | Text |
| Resource Type | Article |
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