文献类型：期刊文献

英文题名：Generalized Stochastic Workflow net-based quantitative analysis of business process performance

作者：Li, Shuxia[1]; Zhu, Haiping[2]

机构：[1] School of Business, East China University of Science and Technology, No. 130 Meilong Road, Shanghai, China; [2] State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China

年份：2008

起止页码：1040

外文期刊名：Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008

收录：EI(收录号：20084411662886)

语种：英文

外文关键词：Markov processes - Enterprise resource management - Administrative data processing - Computation theory - Stochastic models - Petri nets - Quality control - Stochastic systems

摘要：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. ? 2008 IEEE.