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Optimization method based on big data in business process management

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Abstract

This paper presents the current research status of business process management (BPM) based on data drive, and then explains how to apply big data technology to analyze the BPM Data and build BPM knowledgebase in order to guide, optimize and forecast the business process. According the characteristics of the BPM data, the paper proposes a new method based on big data-driven according by key words and process flow (KW + PF), and shows the processing steps. In the furthermore, an automatic process flow with a certain intelligence is designed which is based on a loosely coupled configurable flow engine, meanwhile is guided by the knowledgebase. At last, this paper researches and analyzes how to apply the automatic intelligent process flow attach to the current BPM system and to minimize the disturbance. Moreover, developing trend and research challenge of BPM-driven by big data are illustrated.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (61573138).

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Authors and Affiliations

  1. North China Electric Power University, Beijing, China

    Tingshun Li & Wen Tan

  2. State Grid Information & Telecommunication Group, Beijing China-Power Information Technology Co., Ltd, Beijing, China

    Li Xiong, Aiqiang Dong & Ze-San Liu

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  1. Tingshun Li
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  2. Li Xiong
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  3. Aiqiang Dong
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  4. Ze-San Liu
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  5. Wen Tan
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Correspondence to Tingshun Li.

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Li, T., Xiong, L., Dong, A. et al. Optimization method based on big data in business process management. Cluster Comput 22 (Suppl 3), 5357–5365 (2019). https://doi.org/10.1007/s10586-017-1243-3

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