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Cluster Computing
Published in: Cluster Computing 3/2019

20-10-2017

Optimization method based on big data in business process management

Authors: Tingshun Li, Li Xiong, Aiqiang Dong, Ze-San Liu, Wen Tan

Published in: Cluster Computing | Special Issue 3/2019

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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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Metadata
Title
Optimization method based on big data in business process management
Authors
Tingshun Li
Li Xiong
Aiqiang Dong
Ze-San Liu
Wen Tan
Publication date
20-10-2017
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 3/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-1243-3

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