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http://dx.doi.org/10.9708/jksci.2018.23.11.103

The study of a full cycle semi-automated business process re-engineering: A comprehensive framework  

Lee, Sanghwa (IOChord, Inc.)
Sutrisnowati, Riska A. (IOChord, Inc.)
Won, Seokrae (IOChord, Inc.)
Woo, Jong Seong (IOChord, Inc.)
Bae, Hyerim (Department of Industrial Engineering, Pusan National University)
Publication Information
Journal of the Korea Society of Computer and Information / v.23, no.11, 2018 , pp. 103-109 More about this Journal
Abstract
This paper presents an idea and framework to automate a full cycle business process management and re-engineering by integrating traditional business process management systems, process mining, data mining, machine learning, and simulation. We build our framework on the cloud-based platform such that various data sources can be incorporated. We design our systems to be extensible so that not only beneficial for practitioners of BPM, but also for researchers. Our framework can be used as a test bed for researchers without the complication of system integration. The automation of redesigning phase and selecting a baseline process model for deployment are the two main contributions of this study. In the redesigning phase, we deal with both the analysis of the existing process model and what-if analysis on how to improve the process at the same time, Additionally, improving a business process can be applied in a case by case basis that needs a lot of trial and error and huge data. In selecting the baseline process model, we need to compare many probable routes of business execution and calculate the most efficient one in respect to production cost and execution time. We also discuss the challenges and limitation of the framework, including the systems adoptability, technical difficulties and human factors.
Keywords
Business process re-engineering; business process management systems; process mining; cloud computing; distributed computing;
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