Abstract
The real-time property is an important indicator of trustworthy business processes. Guaranteeing the real-time predictability is pivotal to ensure the efficient execution of business processes. For the real-time requirements of business processes, a method of modeling and analyzing business processes called Timed Business Process Net (TBPN) is proposed. It is a combination of business process modeled by Petri nets and the time factor on places. A real-time predictability analysis method is proposed. Using the proposed methods, we can provide an effective way to guarantee the real-time predictability of business processes.
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Acknowledgments
This work is supported by the National Natural Science Foundation of China (61272153 and 90818023). The Natural Science Foundation of Educational Government of Anhui Province of China (KJ2011A086 and KJ2012A073), Anhui Provincial Natural Science Foundation (1208085MF105), Anhui Provincial Soft Science Foundation (12020503031).
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Yu, W., Fang, X. (2013). Analyzing Real-Time Predictability of Business Processes Based on Petri Nets. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_26
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DOI: https://doi.org/10.1007/978-3-642-37502-6_26
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