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http://dx.doi.org/10.5392/JKCA.2017.17.05.221

Integrated Framework of Process Mining and Simulation Approaches for the Efficient Diagnosis and Design of Business Process  

Sahraeidolatkhaneh, Atieh (경상대학교 산업시스템공학부)
Han, Kwan Hee (경상대학교 산업시스템공학부/공학연구원)
Publication Information
The Journal of the Korea Contents Association / v.17, no.5, 2017 , pp. 221-233 More about this Journal
Abstract
To survive in the ever-changing environment, organizations need to improve or innovate their business processes. As a result, to attain this objective, BPM (Business Process Management) concept is widely adopted in modern enterprises. BPM life cycle consists of diagnosis, design, implementation and enactment. Conventionally, diagnosis of business process within the BPM life cycle is usually conducted by manual methods such as interviews, questionnaires and direct observations of process. And (re)designing business processes is also usually done manually under supervision of business experts from scratch. It is time-consuming and error-prone tasks. The objective of this research is to integrate the diagnosis and (re)design phase of BPM life cycle by sharing automatically generated process model and basic statistics in the diagnosis phase based on the process mining method. Eventually, this approach will lead to automate the tasks of diagnosis and design of business process. To implement and to show the usefulness of the proposed framework, two case studies were conducted in this research.
Keywords
Process Mining; Simulation; Diagnosis & Design; Business Process; Process Innovation;
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